/microsoft-code-reference

name: microsoft-code-reference
description: Find working code samples, verify API signatures, and fix Microsoft SDK errors using official docs. Use whenever the user is writing, debugging, or reviewing code that touches any Microsoft SDK, .NET library, Azure client library, or Microsoft API—even if they don't ask for a "reference." Catches hallucinated methods, wrong signatures, and deprecated patterns. If the task involves producing or fixing Microsoft-related code, this is the right skill.
context: fork
compatibility: Primarily uses the Microsoft Learn MCP Server (https://learn.microsoft.com/api/mcp); if that is unavailable, fall back to the mslearn CLI (`npx @microsoft/learn-cli`).

Microsoft Code Reference

Tools

| 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) |

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 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"` |

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 the command line 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.