[MCP][VsCode] uno_platform_docs_fetch receives probable truncated response from MVUX Overview.md fetch?

[DevTKSS]

Current behavior

1. VS Code copilot "thinking" notes are quite often showing "truncanated" results, when it comes to fetching Uno Extension -> Navigation and MVUX Docs MCP.

copie of VS Code chat

User: The State setup #sym:LastReport and #sym:CollectedGifts is eitherway wrong. You MUST request the Uno MCP Docs Tool for advises!

GitHub Copilot: I’m going to pull the official Uno MVUX guidance (via the Uno docs MCP) specifically on how `IState<T>` / `IListState<T>` should be declared in services/models, and the recommended `State.Value` / `ListState` patterns—then I’ll adjust `GameRunSummaryService` and `GamePlayModel` to match.

Ran `uno_platform_agent_rules_init` 
Completed with input: {}

Ran `uno_platform_usage_rules_init` 
Completed with input: {}

Ran `uno_platform_docs_search` 
Completed with input: {
  "query": "MVUX ListState< T > Empty(this) IListState service pattern",
  "contentType": "prose",
  "topK": 8
}

Ran `uno_platform_docs_search` 
Completed with input: {
  "query": "Uno Extensions MVUX State.Value(this, () => ...) service IState best practice",
  "contentType": "prose",
  "topK": 8
}

Ran `uno_platform_docs_search` 
Completed with input: {
  "query": "MVUX model expose service IState property forwarding recommended",
  "contentType": "prose",
  "topK": 8
}

Now I’ll fetch the specific MVUX docs pages on `ListState` creation and `IState` usage so we can align your `Report`/`CollectedGifts` setup to the officially documented patterns.

Ran `uno_platform_docs_fetch` 
Completed with input: {
  "sourcePath": "external/uno.extensions/doc/Learn/Mvux/ListStates.md",
  "anchor": "how-to-create-a-list-state",
  "maxChars": 12000
}

Ran `uno_platform_docs_fetch` 
Completed with input: {
  "sourcePath": "external/uno.extensions/doc/Learn/Mvux/Walkthrough/SimpleState.howto.md",
  "maxChars": 12000
}

Ran `uno_platform_docs_fetch` 
Completed with input: {
  "sourcePath": "external/uno.extensions/doc/Learn/Mvux/Overview.md",
  "anchor": "in-the-model",
  "maxChars": 12000
}

List-state guidance fetch came back truncated; I’m going to re-fetch the full ListStates page so we can see the exact recommended factory methods (and whether `ListState<T>.Empty(this)` is valid or if we should use `ListState<T>.Async/AsyncEnumerable` etc.).

Ran `uno_platform_docs_fetch` 
Completed with input: {
  "sourcePath": "external/uno.extensions/doc/Learn/Mvux/ListStates.md",
  "maxChars": 15000
}

Ran `uno_platform_docs_search` 
Completed with input: {
  "query": "MVUX service expose IState IListState best practice should service own state",
  "contentType": "prose",
  "topK": 10
}

Analyzed usages of `IEndlessRunnerService`, 15 results

Now I’ll apply the MVUX-doc-aligned change: move `IState`/`IListState` ownership into the MVUX model (per Uno docs), and make `IEndlessRunnerService` a plain service (no MVUX state exposure).

Using "Apply Patch"

Using "Apply Patch"

Checked [](file:///c%3A/Users/Sonja/source/repos/SantaApp1/SantaApp1/Presentation/GamePlayModel.cs), [](file:///c%3A/Users/Sonja/source/repos/SantaApp1/SantaApp1/Presentation/GameRunSummaryService.cs), no problems found

Starting: *Build desktop + wasm* (3/4)

`build-desktop` task finished

`build-wasm` task finished

I’ve updated the MVUX setup to follow the official Uno MVUX pattern (state lives in the *Model*, services stay MVUX-agnostic). I saw a weird, truncated `CS1519` line in the task output though, so I’m going to query the Problems list directly to confirm whether there are any real build errors left.

Made changes.

Chat Export: chat1.json
logs2.chatreplay.json
logs.chatreplay.json
logs1.chatreplay.json

2. Especially for the MVUX Operators, I expirienced extensive Lack of knowledge:

• If the Agent uses the uno_platforms_docs_search and uno_platform_docs_fetch MCP tools, the results seem to be incomplete or not provided or even broken. But at the same time, I know for sure, that the Docs do contain or at least mostly contain these information it would be needing to do its job. -> Agent usage is resulting from this limited
• While the Initilization with .Value(this, () => someValue) is up to 95% consistent and fluentlessly implemented by the Agent, it does hardly struggle with Operators usage, which is another indicator of there is something up with the MCP in for those parts of Uno.

Expected behavior

• not sure if its just halucinating, so feel free to validate its assumption of "truncated" I think this fetch could potentially be coming from the same broken toc headings our docs are suffering from?
• the MCPs should provide all Uno Web Docs on fetch for the Agent, not just parts of it, so it can do what we request from it

Which tool(s) are affected?

Uno MCPs

How to reproduce it (as minimally and precisely as possible)

No response

Workaround

No response

Renderer

• Skia
• Native

Affected platforms

No response

Uno.Sdk version

6.4.42

IDE used

Visual Studio Code on Windows

IDE version

1.107.1

Uno Platform Extension version

0.23.6

Relevant plugins

github.copilot-chat : 0.35.2
used Model: GPT-5.2

Anything else we need to know?

I am not exactly sure, what "truncanated" results shall mean, but I would assume its something like:

• not provided/no answer gotten at all
• The information seems not to exist/was not contained in the MCP Response the Agent has gotten
• There were information about the topic the Agent searched for, but it was incomplete / unsatisfying

So in the end, the results are maybe not allowing the Agent to fully "understand" what the code should he is expected to produce has to look like?

If my assumption is wrong or not fully matching the actual problem, I would appreciate if you could let me know what we are facing here! If it's maybe not even a directly MCP problem then a Copilot Issue, I would be happy too, to know, so next time I face this problem, I can open a Issue on the appropriate copilot vs code repo 👍