Copilot Studio topics

Is "uncertainty" the feedback signal Copilot Studio agents are actually missing?

Zuri — Tue, 08 Sep 2026 20:03:20 GMT

At today's M365 Platform Weekly session, we were asked for our input on what feedback we wish we could pull beyond thumbs up/down and verbatims. Is it trends over time, sentiment themes, the response-to-triage loop, etc.

Here's an angle: What if the primitive itself is wrong? Thumbs up/down measures satisfaction after the fact. What if we measured confidence instead? How often an agent actually knows it's on shaky ground, and whether the user's reaction matches that?

If an agent flags its own uncertainty at the point of response instead of a static thumbs up/down, a feedback prompt gets generated from whatever's trending in that uncertainty instead of the same generic question every time, and "trends over time" becomes "did this agent get more confident or less confident since the last update" rather than a flat satisfaction line. It might also solve the silence problem that most users rarely click anything. A reaction that's actually specific ("you caught something the agent flagged as shaky") seems easier to engage with than a binary good or bad.

To be clear, confidence signals already exist in adjacent forms. Copilot Studio and most conversational AI platforms already use a confidence score internally to decide whether to answer directly, ask a clarifying question, or escalate to a human. GitHub Copilot has used a confidence score since its earliest versions too, ranking code suggestions and defaulting to the highest-scoring one. None of that is new. So rather than "add a percentage next to the answer", what if there is a specific flag pointing at the exact claim or step the agent is unsure about, feeding into the feedback loop?

Curious if anyone else building in Copilot Studio has run into this: Do you ever wish your agent had hedged when it didn't? What would you actually do with an uncertainty score if you had one?

And would just love others thoughts on this :)

Retention policy for only Microsoft Copilot Chat and Copilot Studio agent transcript?

akb1985 — Tue, 08 Sep 2026 06:43:00 GMT

Is it possible to create a retention policy for "Microsoft Copilot Experiences" location but targeting only Microsoft 365 Copilot and Copilot studio but not Security Copilot or Copilot in Fabric?

how to create a globally Shared ServiceNow Connector Connection in Copilot Studio

snamjoshi — Sun, 06 Sep 2026 17:10:29 GMT

Hello,

I have configured Microsoft entra ID oauth using certificate and shared this connection with everyone in my company since this is the only shared connection on the platform.

https://learn.microsoft.com/en-us/connectors/service-now/#microsoft-entra-id-oauth-using-certificate.

But, whey user's ( end users, agent maker, environment maker basically any user in copilot environment) are trying to use any servicenow tools ( e.g create record) which is using this shared connection in copilot studio/ teams, they are getting below error.

https://learn.microsoft.com/en-us/connectors/service-now/

How to create a shared connection which can be shared across all enterprise users in my org for copilot AI agents which are using servicenow connector?

Regards,

Sachin

Error Connecting Whatsapp Number (Copilot Studio to Azure ACS)

Temitope_Victoria — Sat, 05 Sep 2026 14:44:05 GMT

Please help.

I created an AI Agent in Copilot Studio for connecting to WhatsApp. I created an Azure Communication Services (ACS) and connected my personal Facebook page to it. I created a WhatsApp Business number, I got the code, and it connected. However, when I return to Copilot studio to connect using my Azure Subscription and Resource, it says- Error connecting to WhatsApp phone number. Please try again.

How do I resolve this?

How to Integrate Copilot Studio Agent with a Website Using API?

AsutoshPatel27 — Wed, 02 Sep 2026 10:57:48 GMT

Hello Team,

I have created a Copilot Agent using Copilot Studio and published it on our public website using an iframe. Currently, the agent does not have any authentication configured because we want it to be publicly accessible.

However, our website development team has raised a security concern with this approach, as embedding the Copilot Agent directly using an iframe may not be the most secure or recommended approach.

We are looking for an alternative integration approach. For example:

Is it possible to expose the Copilot Studio Agent through an API or another secure endpoint?
Can our website development team call the agent through an API, receive the response, and build their own custom UI instead of embedding the agent using an iframe?
Is there any recommended architecture or Microsoft-supported approach for securely integrating a Copilot Studio Agent with a public-facing website?

If anyone has implemented a similar solution or has any recommendations, I would appreciate your suggestions.

Copilot+ laptop cannot access my local files or folders. No permission dialog to approve access.

Gail123 — Tue, 01 Sep 2026 16:10:27 GMT

First up - I'm not a tech expert! I have a new CoPilot+ laptop. Asked CoPilot to do a task in my folders and files that I downloaded from iCloud, but it cannot access my files or folders. Asks me to allow access through Microsoft prompt that never appears. Contacted Microsoft Support yesterday and after 2 hours and no progress, they told me to contact laptop manufacturer support. Which I did, and this resulted in a reset to factory setting of the laptop today. Problem still persists, its not hardware related. I contacted Microsoft Support again and have been directed her on the basis that this appears to be an ongoing Copilot+ issue that has already been through extensive troubleshooting, the Tech Community is currently the best channel to track updates and raise visibility with the teams investigating the problem."

Any suggestions on what I need to try next? Bearing in mind, I am not an expert! Thank you in advance

Gail

Course AB-620T00-A: Design and build integrated AI agent solutions in Copilot Studio

RahulTandon74 — Mon, 31 Aug 2026 03:45:01 GMT

Hi Copilot Studio facilitators,
I want to know if there are labs for Course AB-620T00-A: Design and build integrated AI agent solutions in Copilot Studio

Thanks

Rahul

Copilot Studio Agent Shows Usage Limit Error Despite Low Credit Usage

nuwantheekshana — Sat, 29 Aug 2026 07:40:14 GMT

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Hi everyone,

We are experiencing an issue with a Copilot Studio agent and would appreciate any guidance from the community.

Scenario:

The agent works correctly in the Copilot Studio test environment and responds as expected.
However, after integrating the same agent into our web application, users receive the following error:

"This agent is currently unavailable. It has reached its usage limit. Please try again later."

Additional Information:

In Copilot Studio Usage Monitoring, we can only see approximately 4 credits consumed.
Based on the reported consumption, we would not expect a usage limit to have been reached.
The issue occurs only when accessing the agent through the web application. The Copilot Studio test interface continues to work normally.

Questions:

Has anyone experienced a similar issue?
Could this be related to licensing, capacity allocation, authentication, or channel configuration?
Is there any difference in credit consumption or capacity enforcement between the Copilot Studio test environment and embedded web channels?
Are there additional monitoring locations where we can verify the actual credit usage and capacity status?

Any insights or recommendations would be greatly appreciated.

New Copilot Studio experience - MS365 Copilot and Teams - Channel About Info

NickKearns — Fri, 28 Aug 2026 01:59:04 GMT

We have imported a managed Solution into our Production Environment and all Objects successfully migrated, with the exception of the Channel 'About Info'. We find we can now update these About Info details, but they do not carry through into the App Manifest Download or the Submit to Org Catalogue. Unlike the Classic experience, there is also nowhere to update the Icon in the Channel Details, so only the default icon comes through in the Manifest and Org Catalogue workflow. HELP!

Copilot Studio Agent Unable to Retrieve Usable DOCX/XLSX Content from OneDrive (and SharePoint)

edfencer — Fri, 28 Aug 2026 01:32:48 GMT

Hi everyone,

I'm building a Copilot Studio agent that needs to read and process Word (.docx) and Excel (.xlsx) files stored in OneDrive. The agent can successfully locate files and retrieve metadata, but it appears unable to retrieve Office files as usable binary content.

I tested the behaviour using the OneDrive Get file content action:

A text file (test.txt) was returned correctly and matched the original file contents exactly.
A Word file (Test.docx) was returned beginning with the ZIP signature PK and contained recognisable DOCX entries such as [Content_Types].xml and _rels/.rels.
However, the returned payload also contained large numbers of Unicode replacement characters (�).
The returned content appears to be a text string rather than binary data or base64 content.

Because Office files are ZIP-based binary formats, the returned payload cannot be reconstructed into a valid .docx or .xlsx file, preventing downstream libraries such as python-docx and openpyxl from opening the file. Is there any way to resolve this issue?

Knowledge retrieval on the GitHub Copilot harness suddenly slow (~1:25 min/turn)

KevinStarwars — Thu, 27 Aug 2026 12:35:30 GMT

Since about a week we're seeing severe knowledge-retrieval latency on a Copilot Studio agent (GitHub Copilot harness, SharePoint sources) — ~1:25 min per answer. No config changes on our side. Same source on the standard harness: ~20 s.

We captured a HAR of a slow turn and found this in the SSE stream:

knowledge_search_sharepoint completes in ~11 s (durationMs: 10774) — search is not the problem.
But instead of snippets, the tool result says: "The full documents have been downloaded to /app/uploads/" — 9 complete files, including large PDFs. 8 of 10 results contain no snippet at all.
It then instructs the model: "Read each relevant file IN FULL before responding — every part, from the start to the end of the file."
The remaining ~70 s is the model reading those files before answering. More sources = more full documents = longer turns.

Oddly, the tool's own description promises the opposite: "Results are search snippets … call KnowledgeRetrieve with the ReferenceId to get the full document."

Anyone else seeing this since ~mid-August? Known issue or intended GA behavior?

Minimum Environment Permissions (Security Roles) for Copilot Studio Agent in Teams?

DeveloperAbd — Thu, 27 Aug 2026 08:14:28 GMT

Hi Copilot Studio Community!

I’m facing a strange permissions (Security Roles) challenge when sharing an Agent with users on Teams, and I’m looking for the best practice to determine the minimum required privileges.

The Scenario:
I built an Agent grounded in a SharePoint Knowledge Base.
The end-users currently have:
- Read access to the SharePoint Document Libraries.
- View-only access to the Agent when shared from Copilot Studio.
- No permissions at the Environment level in Dataverse.

The Issue:
When I share the Agent link on Teams, users add it successfully. However, when they ask a question, the Agent immediately triggers the Fallback Topic (acting as if it has no information to pull from or can't access SharePoint).

The Strange Behavior (Workaround):
I discovered that if I temporarily grant the user the following high privileges:
1. Environment Maker role.
2. Bot roles (Bot Contributor, Bot Transcript Viewer, Bot Viewer).
3. Editor permission on the Agent.

Then, if the user tests a question inside the Copilot Studio canvas, it answers correctly. After that, if they test it in Teams, it works perfectly there too!
The weirdest part: if I immediately revoke all these high privileges (returning the user to a simple Viewer with no Environment Access), the Agent continues to work normally for them in Teams and fetches answers from SharePoint without any issues!

My Question to the Experts:
1. Since I don't want (and for security reasons, shouldn't) grant end-users roles like Maker or Editor, what are the exact minimum basic permissions (Security Roles) at the Environment/Dataverse level (e.g., Basic User) that a user must have just to chat with the Agent in Teams successfully from the first try?
2. Is there a technical explanation for why the Agent keeps working in Teams after revoking the permissions? Is it just Token Caching, or is there something else at play?

I would highly appreciate your insights!

How to preserve document format and structure with Copilot Agent

mirshods13 — Wed, 26 Aug 2026 19:44:30 GMT

Hi everyone,

I was building a copilot agent that should be able to accept a document and then make changes to it before returning the new version of that document, which has the same format and structure as the original. What is the best way to accomplish this in copilot studio? So far, I have tried using a power automate flow and external tools but it seems that there is no free included tool that can achieve this task. All the document writing tools seem to be paid services requiring API keys. Is there an alternate free way of achieving this task?

Thank you

Intermittent Post-Deployment Issues with Copilot Agent Using SharePoint Knowledge Sources

sohnash — Tue, 25 Aug 2026 10:16:43 GMT

Summary

We are testing a Copilot Studio agent following admin approval and installation for a set of users before we launch it to everyone in the organization - the objective being to test out the end user experience and check that everything is working fine.

We have encountered several inconsistent behaviours using the agent across both the Copilot app and Microsoft Teams. The issues seem to be resolved after signing out, restarting the application, or signing in again.

📍Looks like a lot of instabilities and poor end user experience with this method & this is blocking us from launching the agent to the organization.

Agent Setup

Agent built in Copilot Studio & deployed via pipeline (Development > QA > Production)
Knowledge source 1: SharePoint connection using Dataverse indexing/synchronisation
Knowledge source 2: Live SharePoint connection
Tested in the following apps after admin approval/publishing/pinning:
- Microsoft Copilot app
- Microsoft Teams

Issues observed

Agent not visible in Copilot app
1. After agent is approved, installed, shared and pinned (to specific users) from Admin side, the agent is not visible in Copilot app. We gave it over 8 hours after the admin process.
2. Agent appeared after signing out of Copilot app and signing back in again.
SharePoint connection consent prompt not displayed
1. Users are expected to receive a prompt with consent to connect to SharePoint (with "Allow" button). What appears is only a message but no card with the "Allow" button.
2. This started working after signing out of Copilot app and signing back in again - so the sign out + sign in had to be done twice
Responses not retrieved from Knowledge source 1
1. In spite of proceeding with the "Allow" prompts, for some users, the responses are coming only from Knowledge source 2 (live connection) & not Knowledge source 1 (connection with dataverse indexing). This is seen both when interacting with the agent in Copilot app and Teams.
2. For some users, this was fixed after signing out and back into the apps

Questions

Has anyone experienced such instabilities with admin deployment/publishing of agents?
- If yes, what have you done to sort them out and have you been able to successfully launch agents organization wide with this approach?
Does anyone know about known issues/glitches with admin deployment/publishing of agents? We did not see these issues when sharing the agent using Copilot Studio.

Update: Root Cause Identified

Adhonai_KOUKA — Thu, 20 Aug 2026 06:38:26 GMT

Hi everyone,

I would like to share the root cause and solution in case someone else encounters the same issue.

The Problem

I created several agent flows directly in Power Automate using: https://make.powerautomate.com

The flows were configured correctly:

The flow starts with When an agent calls the flow
The flow ends with Respond to the agent
The flow and agent are in the same environment
The flow is included in a solution
The flow is published and fully functional

The flows could be added to an agent and executed successfully.

However, unlike flows created directly from Copilot Studio, they did not appear in the Global Tools directory.

What I Investigated

I verified:

Trigger configuration
Respond to the agent action
Environment consistency
Solution membership
Publish all customizations
Asynchronous response settings
Synchronization delays between Power Automate and Copilot Studio

None of these were the root cause.

Root Cause

The issue was related to the workflow Plan.

I discovered that:

Flows created directly in Power Automate were assigned:
Plan = The user running the flow
Flows created directly in Copilot Studio were assigned:
Plan = Copilot Studio

Although the Power Automate flow was fully functional and could be used by the agent, it was not visible in the Global Tools directory.

Solution

After changing the workflow Plan to:

Plan = Copilot Studio

the flow immediately appeared in the Global Tools directory.

Configuration Location

The setting can be found in the workflow properties under:

Primary owner → Plan

Important Note

Based on my testing, changing the Plan to Copilot Studio appears to be a one-way operation and may not be reversible.

It may be a good idea to export or save the flow before making the change.

Acknowledgements

Special thanks to sohnash for reproducing the scenario and providing troubleshooting suggestions, and to Patty_Velasquez for sharing similar observations that helped confirm the behavior.

Hopefully this helps others who encounter the same issue.

Best regards,

Adhonaï KOUKA

Free Copilot Credits for MCTs/ MVPs ?

SharmaNeeraj — Thu, 20 Aug 2026 04:55:34 GMT

Hello All

The new Copilot Studio experience, powered by the GitHub Copilot harness, requires Copilot Credits for building, testing, and evaluating agents. In contrast, classic Copilot Studio requires Copilot Credits only after publishing.

Is there a way for MCTs or MVPs to get Free access to Copilot Credits so they can test agents in the new Copilot Studio experience?

What is the best file format for an AI agent knowledge base?

medhi — Wed, 19 Aug 2026 14:55:06 GMT

This is a best practice sharing the best format for an agent and show you why you should convert your PPT, PDF, WORD into a TXT markdown.

I had an issue with my agent, time taken to answer was too long, and usually we spend a lot of time asking:

What is the best prompt? Why is my agent slow? Why does retrieval sometimes work and sometimes fail? How can I improve answer quality?

But I realised I was asking another question much less often:

What is actually the best file format for the knowledge base?

PDF? Raw text? Markdown? Pre-chunked text? Semantic sections? Context-enriched text?

And more importantly:

How much does the format alone affect agent performance?

I tried to find a quantified benchmark answering this specific question, with the same agent, same source knowledge and same questions, but different knowledge representations.

I couldn't find one that really answered what I wanted to measure. So I decided to run the experiment myself on a real case.

My first exploratory tests were already surprising: depending on the representation, the agent could be significantly faster and more accurate, despite working from the exact same source information.

So I decided to push the test further.

My objective

I want to identify, without assumptions and based on actual evaluation data, how a long document should be prepared for an LLM knowledge base so that the agent can retrieve, understand, ground and answer from it as reliably as possible.

I focused on five dimensions:

Answer quality
Retrieval reliability
Source grounding / citations
Execution time
Robustness across single-turn and multi-turn questions

The broader question I'm trying to answer is:

How should we structure knowledge so that an LLM can retrieve and use it as reliably as possible?

The test case

I deliberately chose a document that isn't particularly friendly for RAG: a 46-page European regulation, EU Regulation No 1169/2011, on the provision of food information to consumers.

The information is distributed across articles, definitions, exceptions, annexes, tables, numerical thresholds and cross-references.

That makes it useful for testing retrieval: answering correctly often requires finding a very specific piece of information while preserving enough context to understand how it applies.

I used the native PDF as the baseline and created 6 additional knowledge-base representations of the same document:

Raw TXT
Markdown
Chunk-ready TXT
RAG-oriented units
Semantic TXT
Contextual TXT

One rule: same knowledge, same agent, same instructions, same questions. Only the knowledge representation changes.

The benchmark

I used two evaluation sets:

42 single-turn questions testing broad coverage of the document: direct facts, thresholds, exceptions, annexes, lists and cross-references.
5 multi-turn conversations containing 13 questions, to see what happens when a user asks a question and then follows up with things like:
- "And in this case?"
- "What are the exceptions?"
- "And for dietary fibre?"

This gave me: 47 evaluated test cases / 55 actual questions per format

Across all 7 formats:

329 evaluated conversations
385 user questions executed

First results

Metric	Native PDF	Best structured representation
Overall pass rate	66.0%	85.1% - Contextual TXT
Best single-turn score	69.0%	88.1% - Chunk-ready TXT
Multi-turn benchmark	40%	80% - Contextual TXT
Multi-turn execution time	14m24	5m54
Total benchmark time	44m31	24m49

The quality gap was already substantial: 66.0% → 85.1%

That's +19.1 percentage points while keeping the underlying knowledge unchanged.

I also saw a major difference in execution time.

On the multi-turn test: 14m24 → 5m54

That's approximately 2.4× faster.

Across the complete benchmark: 44m31 → 24m49

Around 44% less execution time.

These timings represent the complete agent evaluation pipeline, so they shouldn't be interpreted as pure LLM inference latency. But the difference under identical test conditions is large enough that I want to understand it better.

Findings

There wasn't one format dominating every benchmark.

Chunk-ready TXT scored highest on independent questions: 88.1%, while Contextual TXT performed better across multi-turn conversations and finished with the highest overall score.

That may suggest that the way we optimise a document for isolated retrieval isn't exactly the same as the way we should prepare it for conversational retrieval.

In the contextual version, I tried to make every section understandable when retrieved independently by keeping useful information around it:

Source references
Section context
Retrieval cues
Relevant cross-references

For regulatory documents, this seems particularly important.

A numerical value retrieved alone can be meaningless without knowing which rule it belongs to, under which conditions it applies, and whether another article contains an exception.

Where I am now

This remains an exploratory benchmark:

One document
One domain
One agent setup
One evaluation framework
One run per configuration

There are plenty of things I still want to test: repeated runs, retrieval-level evaluation, token consumption, larger knowledge bases, other document types, chunk sizes, overlap, contextual headers, and more.

But these first results already convinced me that the preparation of the knowledge base deserves much more attention when evaluating an agent.

We often spend hours refining instructions while the same information may behave very differently depending on how it reaches the retrieval layer.

Next step

I'll share the prompts, knowledge-base formats and evaluation methodology on GitHub so the experiment can be reproduced and challenged.

I'll keep enriching the repository as I test new formats, improve the evaluation set and add new results.

If people here have ideas, edge cases or formats worth testing, I'd genuinely like to include some of them in the next iteration.

What would you test next?

Power Automate Flows Created Outside Copilot Studio Not Appearing in Tools

Adhonai_KOUKA — Fri, 14 Aug 2026 14:21:48 GMT

Hello everyone,

I'm facing an issue with Copilot Studio and would appreciate your advice.

Context

I have several Power Automate flows that I created directly from:

https://make.powerautomate.com

My goal is to use these flows as tools within a Copilot Studio agent.

All components are in the same Power Platform environment.

What I've verified

The flows use the "When an agent calls a flow" trigger.
The flows end with "Respond to the agent".
The flows are saved and published.
The agent and flows are added to the same Solution.
The solution has been published.
I am using the same account and environment for both Power Automate and Copilot Studio.

The Issue

Flows that are created directly from Copilot Studio appear correctly under:

Tools → Add Tool

However, flows created from Power Automate (make.powerautomate.com) do not appear in the Tools list, even though they have the same trigger and response configuration.

Question

Are there additional requirements for a Power Automate flow to be discoverable by Copilot Studio?

For example:

Does the flow need to be an Agent Flow rather than a standard Cloud Flow?
Are there known synchronization or caching issues between Power Automate and Copilot Studio?
Is there a specific setting, solution configuration, or publishing step that I may have missed?

Any guidance or experience with a similar issue would be greatly appreciated.

Thank you!

Unanswered Questions on GitHub Copilot Harness in Copilot Studio

JyotiSingh — Thu, 13 Aug 2026 13:19:53 GMT

We're piloting the GitHub Copilot harness in Copilot Studio (GA August 2026) and several operational and architectural details remain undocumented in the GA FAQ, Microsoft Learn, or licensing guides. Looking for official answers or PM contacts on: Architecture & Execution – When the harness breaks tasks into subtasks, does it use internal sub-agents or only skills/connected agents, what are the exact timeout/retry/max-execution-duration limits for long-running workflows, and are planning/context-retrieval/orchestration internals documented anywhere or is the orchestrator a black box? Model Selection – Can individual skills within one agent use different models or is selection strictly agent-level, how are models chosen internally when multiple skills execute, are any internal models developer-configurable, and what's the roadmap for models being added/retired/deprecated plus the lag between public release and Copilot Studio availability? Cost & Token Optimization – How exactly is the ~45% token reduction achieved, how much control do makers have over context/caching/retrieval/tool calls, what are per-model credit consumption characteristics, which models are most cost-effective for specific workloads, and what's the minimum credit cost for trivial interactions? Memory Management – What are retention periods for session/working/agent memory beyond the documented 28-day user-memory expiry, is true long-term memory supported, and what changed versus earlier implementations? Knowledge Retrieval – Can skills or system instructions influence retrieval strategy/document selection/prioritization/filtering, can planning stages perform conflict/duplicate/version detection before retrieval, and how does the harness decide which sources to search? Apps Feature – What is the "Apps (preview)" capability for, when does it GA, and how does it differ from workflows/skills/adaptive cards/agents? Billing & Credit Sizing – Is there a framework to classify users/agents by expected consumption and size credit allocation per group (citizen vs pro developers), and what's the minimum/typical consumption for simple/medium/heavy interactions? Governance & Admin – Can usage limits be set at user level (not just environment/agent), is there an API/IaC path for large-scale credit assignment, can non-admins view their own consumption/remaining allocation, and is there a self-service request-more-credits dashboard? ALM & Environments – What's the recommended path to move harness agents across Dev/Test/UAT/Prod (Solutions/ALM "setup differs" per parity chart—how?), does GitHub integration replace or complement solution-based deployment, are there recommended AgentOps practices for source control/releases/versioning, and what baseline credits and onboarding model are suggested for citizen developers under usage billing—any enterprise reference implementations?

Copilot Studio: “Get file content using path” fails for table-heavy DOCX files

Jaimin26 — Thu, 13 Aug 2026 11:22:38 GMT

Hi everyone,

I'm investigating an issue with a Copilot Studio Standard Harness agent and would like to know whether others have encountered similar behavior.

Scenario

I have configured a tool in my agent using:

Get file content using path

The document is stored in my own OneDrive/SharePoint location and I have full access to it.

This is not a chat file upload scenario and not a knowledge source indexing scenario. The agent is retrieving the document through a configured tool action.

Behavior Observed

Case 1 - Works

The Word document contains approximately:

~4.1K words
~20 tables

The agent successfully:

Finds the file
Retrieves the file
Reads the content
Generates a summary

Case 2 - Fails

I increase the document slightly:

~4.2K words
More tables added

The agent now returns a message similar to:

The file was retrieved, but its content could not be converted to text.

The response still indicates that:

File found
File retrieved
Text extraction/conversion failed

Important Observation

Initially I thought this might be a word-count limitation, but additional testing suggests otherwise.

I tested another document containing:

More than 4.3K words
Very few or no tables

The agent processed that file successfully and generated a correct summary.

Because of this, the issue appears to be related more to table-heavy DOCX content than to the total number of words.

What Has Been Ruled Out

The following do not appear to be the cause:

File path issues
Permissions/access issues
File not found issues
Connector authentication issues
Large file size issues
Chat file upload limitations
Knowledge source indexing limitations

The same tool and same retrieval approach continue working until the document becomes more table-heavy.

Questions

Has anyone experienced similar behavior with Get file content using path in Copilot Studio?
Does Copilot Studio Standard Harness perform an internal DOCX-to-text conversion step after retrieving the file?
Are there known limitations around processing Word documents that contain a large number of tables?
Has anyone identified practical thresholds around table count, table complexity, or table-heavy technical documents?
Is there a recommended workaround besides splitting the document into smaller files?

Any insights, similar experiences, or Microsoft guidance would be greatly appreciated.

Thanks!