Check Microsoft API usage against official documentation and code samples. Find methods, parameters, and packages for Azure SDKs, .NET libraries, and Microsoft APIs, then compare implementations to investigate errors or outdated patterns.
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Look up Microsoft API references, find working code samples, and verify SDK code is correct. Use when working with Azure SDKs, .NET libraries, or Microsoft APIs—to find the right method, check parameters, get working examples, or troubleshoot errors. Catches hallucinated methods, wrong signatures, and deprecated patterns by querying official docs.
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| Need | Tool | Example |
|---|---|---|
| API method/class lookup | microsoft_docs_search | "BlobClient UploadAsync Azure.Storage.Blobs" |
| Working code sample | microsoft_code_sample_search | query: "upload blob managed identity", language: "python" |
| Full API reference | microsoft_docs_fetch | Fetch URL from microsoft_docs_search (for overloads, full signatures) |
Use microsoft_code_sample_search to get official, working examples:
microsoft_code_sample_search(query: "upload file to blob storage", language: "csharp")
microsoft_code_sample_search(query: "authenticate with managed identity", language: "python")
microsoft_code_sample_search(query: "send message service bus", language: "javascript")
When to use:
# Verify method exists (include namespace for precision)
"BlobClient UploadAsync Azure.Storage.Blobs"
"GraphServiceClient Users Microsoft.Graph"
# Find class/interface
"DefaultAzureCredential class Azure.Identity"
# Find correct package
"Azure Blob Storage NuGet package"
"azure-storage-blob pip package"
Fetch full page when method has multiple overloads or you need complete parameter details.
Use microsoft_code_sample_search to find working code samples and compare with your implementation. For specific errors, use microsoft_docs_search and microsoft_docs_fetch:
| Error Type | Query |
|---|---|
| Method not found | "[ClassName] methods [Namespace]" |
| Type not found | "[TypeName] NuGet package namespace" |
| Wrong signature | "[ClassName] [MethodName] overloads" → fetch full page |
| Deprecated warning | "[OldType] migration v12" |
| Auth failure | "DefaultAzureCredential troubleshooting" |
| 403 Forbidden | "[ServiceName] RBAC permissions" |
Always verify when:
UploadFile vs actual Upload)CloudBlobClient vs v12 BlobServiceClient)Azure.* for .NET, azure-* for Python)Before generating code using Microsoft SDKs, verify it's correct:
microsoft_docs_search(query: "[ClassName] [MethodName] [Namespace]")microsoft_docs_fetch(url: "...")microsoft_code_sample_search(query: "[task]", language: "[lang]")For simple lookups, step 1 alone may suffice. For complex API usage, complete all three steps.
If the Learn MCP server is not available, use the mslearn CLI from a terminal or shell (for example, Bash, PowerShell, or cmd) instead:
# Run directly (no install needed)
npx @microsoft/learn-cli search "BlobClient UploadAsync Azure.Storage.Blobs"
# Or install globally, then run
npm install -g @microsoft/learn-cli
mslearn search "BlobClient UploadAsync Azure.Storage.Blobs"
| MCP Tool | CLI Command |
|---|---|
microsoft_docs_search(query: "...") | mslearn search "..." |
microsoft_code_sample_search(query: "...", language: "...") | mslearn code-search "..." --language ... |
microsoft_docs_fetch(url: "...") | mslearn fetch "..." |
Pass --json to search or code-search to get raw JSON output for further processing.
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Map an existing codebase into seven documents covering its technology, structure, architecture, conventions, integrations, tests, and concerns. Link findings to file evidence, mark unknowns, and highlight differences between stated plans and the actual implementation.
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Customize AgentRC readiness assessments to match team or organization standards. Choose or create policies that adjust check importance, disable irrelevant checks, set pass thresholds, and define requirements for automated checks in CI workflows.
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Turn code files into learning resources by adding comments that explain syntax, programming concepts, and design choices. Adjust explanation depth and repetition to the reader’s knowledge while preserving file structure, encoding, and syntax.
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