microsoft-docs

공식 문서를 조회하여 Microsoft 기술을 이해합니다. 사용자가 특정 기능의 작동 방식, 튜토리얼, 구성 옵션, 제한 사항, 할당량, 또는 모범 사례(Azure, .NET, M365, Windows, Power Platform 등)를 묻는 경우—"docs"를 언급하지 않더라도—이 스킬을 사용하세요. 코드 작성보다 개념 이해에 관한 질문이라면, 이 스킬이 적합합니다.

Microsoft Docs

Tools

Tool	Use For
`microsoft_docs_search`	Find documentation—concepts, guides, tutorials, configuration
`microsoft_docs_fetch`	Get full page content (when search excerpts aren't enough)

When to Use

Understanding concepts — "How does Cosmos DB partitioning work?"
Learning a service — "Azure Functions overview", "Container Apps architecture"
Finding tutorials — "quickstart", "getting started", "step-by-step"
Configuration options — "App Service configuration settings"
Limits & quotas — "Azure OpenAI rate limits", "Service Bus quotas"
Best practices — "Azure security best practices"

Query Effectiveness

Good queries are specific:

# ❌ Too broad
"Azure Functions"

# ✅ Specific
"Azure Functions Python v2 programming model"
"Cosmos DB partition key design best practices"
"Container Apps scaling rules KEDA"

Include context:

Version when relevant (.NET 8, EF Core 8)
Task intent (quickstart, tutorial, overview, limits)
Platform for multi-platform docs (Linux, Windows)

When to Fetch Full Page

Fetch after search when:

Tutorials — need complete step-by-step instructions
Configuration guides — need all options listed
Deep dives — user wants comprehensive coverage
Search excerpt is cut off — full context needed

Why Use This

Accuracy — live docs, not training data that may be outdated
Completeness — tutorials have all steps, not fragments
Authority — official Microsoft documentation

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 "azure functions timeout"

# Or install globally, then run
npm install -g @microsoft/learn-cli
mslearn search "azure functions timeout"

MCP Tool	CLI Command
`microsoft_docs_search(query: "...")`	`mslearn search "..."`
`microsoft_docs_fetch(url: "...")`	`mslearn fetch "..."`

The fetch command also supports --section <heading> to extract a single section and --max-chars <number> to truncate output.