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microsoft-code-reference

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and packages for Azure SDKs, .NET libraries, and Microsoft APIs, then compare implementations to investigate errors or outdated patterns.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.

Works withAzure
See how to install

Good for

  • Verify methods and parameters before writing code
  • Find official code samples for authentication or uploads
  • Investigate missing methods and type errors
  • Check deprecated patterns during SDK upgrades

Files included (1)

  • SKILL.md4.1 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

Microsoft Code Reference

Tools

NeedToolExample
API method/class lookupmicrosoft_docs_search"BlobClient UploadAsync Azure.Storage.Blobs"
Working code samplemicrosoft_code_sample_searchquery: "upload blob managed identity", language: "python"
Full API referencemicrosoft_docs_fetchFetch URL from microsoft_docs_search (for overloads, full signatures)

Finding Code Samples

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:

  • Before writing code—find a working pattern to follow
  • After errors—compare your code against a known-good sample
  • Unsure of initialization/setup—samples show complete context

API Lookups

# 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.

Error Troubleshooting

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 TypeQuery
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"

When to Verify

Always verify when:

  • Method name seems "too convenient" (UploadFile vs actual Upload)
  • Mixing SDK versions (v11 CloudBlobClient vs v12 BlobServiceClient)
  • Package name doesn't follow conventions (Azure.* for .NET, azure-* for Python)
  • Using an API for the first time

Validation Workflow

Before generating code using Microsoft SDKs, verify it's correct:

  1. Confirm method or package exists — microsoft_docs_search(query: "[ClassName] [MethodName] [Namespace]")
  2. Fetch full details (for overloads/complex params) — microsoft_docs_fetch(url: "...")
  3. Find working sample — microsoft_code_sample_search(query: "[task]", language: "[lang]")

For simple lookups, step 1 alone may suffice. For complex API usage, complete all three steps.

CLI Alternative

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 ToolCLI 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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