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Microsoft Learn MCP

by com.microsoft

Microsoft Code Sample Search

microsoft_code_sample_search
Read-onlyIdempotent

Search for code snippets and examples in official Microsoft Learn documentation. This tool retrieves relevant code samples from Microsoft documentation pages providing developers with practical implementation examples and best practices for Microsoft/Azure products and services related coding tasks. This tool will help you use the LATEST OFFICIAL code snippets to empower coding capabilities.

When to Use This Tool

  • When you are going to provide sample Microsoft/Azure related code snippets in your answers.

  • When you are generating any Microsoft/Azure related code.

Usage Pattern

Input a descriptive query, or SDK/class/method name to retrieve related code samples. The optional parameter language can help to filter results.

Eligible values for language parameter include: csharp javascript typescript python powershell azurecli al sql java kusto cpp go rust ruby php

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesa descriptive query, SDK name, method name or code snippet related to Microsoft/Azure products, services, platforms, developer tools, frameworks, APIs or SDKs
languageNoOptional parameter specifying the programming language of code snippets to retrieve. Can significantly improve search quality if provided. Eligible values: csharp javascript typescript python powershell azurecli al sql java kusto cpp go rust ruby php

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultsNo

TDQS

A3.9/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the read-only nature is covered. The description adds that the tool retrieves the 'LATEST OFFICIAL' snippets, lending some context, but does not disclose other behavioral aspects like pagination, result limits, or error behavior. With annotations in place, the description provides minimal additional transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured with clear sections ('When to Use', 'Usage Pattern') and front-loaded with a clear opening sentence. It is moderately sized, but contains some redundancy and promotional language ('empower coding capabilities') that could be trimmed. Every section earns its place overall.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a search tool with an output schema (not shown) and annotations covering safety, the description is reasonably complete. It explains what to input (query, SDK/method name), how to use optional language, and provides eligible values. It does not mention pagination or result shape, but those may be covered by the output schema. The tool is simple enough that no further detail is needed.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the baseline is 3. The description's usage pattern repeats what the schema already says, but it does emphasize that `language` can filter results and improve quality—slight added value. The eligible values list in the description duplicates the schema's list exactly, so no genuinely new meaning is introduced.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: 'Search for code snippets and examples in official Microsoft Learn documentation.' It specifies the resource (Microsoft Learn docs), the action (search/retrieve), and the scope (code samples). The tool name and description distinguish it from sibling tools (microsoft_docs_search, microsoft_docs_fetch) by focusing specifically on code snippets.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides an explicit 'When to Use This Tool' section with concrete scenarios: when providing Microsoft/Azure code snippets in answers or generating any Microsoft/Azure related code. It also gives a usage pattern via query and optional language. However, it does not explicitly mention alternatives or when not to use this tool vs. siblings, so it falls short of a full 5.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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TDQS

A4.4/5.0
Disambiguation5/5

Each tool targets a distinct need: code sample search, documentation search, and full-page fetch. The descriptions clearly differentiate the two search tools (one for code snippets, one for general documentation content), with no meaningful overlap.

Naming Consistency5/5

All tool names follow a consistent pattern of 'microsoft_' + resource + action (code_sample_search, docs_search, docs_fetch). The naming is predictable and uniform, making it easy to infer tool behavior from the name alone.

Tool Count4/5

Three tools is a reasonable number for a documentation server. The set is not overly thin, as the tools cover the core workflows of searching and fetching Microsoft Learn content, though a few additional utilities (e.g., browsing by category) could be added.

Completeness5/5

The tool surface fully covers the read-only documentation and code sample retrieval domain. It provides search for both general docs and code snippets, plus a fetch tool for full article context, leaving no obvious dead ends for agent workflows.

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