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Microsoft Learn MCP

by com.microsoft

Microsoft Docs Fetch

microsoft_docs_fetch
Read-onlyIdempotent

Fetch and convert a Microsoft Learn documentation webpage to markdown format. This tool retrieves the latest complete content of Microsoft documentation webpages including Azure, .NET, Microsoft 365, and other Microsoft technologies.

When to Use This Tool

  • When search results provide incomplete information or truncated content

  • When you need complete step-by-step procedures or tutorials

  • When you need troubleshooting sections, prerequisites, or detailed explanations

  • When search results reference a specific page that seems highly relevant

  • For comprehensive guides that require full context

Usage Pattern

Use this tool AFTER microsoft_docs_search when you identify specific high-value pages that need complete content. The search tool gives you an overview; this tool gives you the complete picture.

URL Requirements

  • The URL must be a valid HTML documentation webpage from the microsoft.com domain

  • Binary files (PDF, DOCX, images, etc.) are not supported

Output Format

markdown with headings, code blocks, tables, and links preserved.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesURL of the Microsoft documentation page to read

TDQS

A4.9/5.0
Behavior5/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, and the description adds valuable behavioral context: it retrieves the latest complete content, converts to markdown, preserves formatting, and excludes binary files. No contradictions with annotations.

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

Conciseness5/5

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

The description is well-structured with clearly labeled sections (When to Use, Usage Pattern, URL Requirements, Output Format). Each sentence adds value and the information is front-loaded with a concise opening sentence defining the tool's core behavior.

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

Completeness5/5

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

Given the tool's simplicity (one parameter, no output schema) and strong annotations, the description covers all necessary context: purpose, usage timing, executable constraints, and output format. It is fully sufficient for an agent to select and invoke the tool correctly.

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

Parameters4/5

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

Schema description coverage is 100% for the single url parameter, but the tool description adds meaningful constraints beyond the schema, such as the requirement that the URL be a valid HTML microsoft.com documentation page and that binary files are unsupported. This enriches the parameter semantics without redundancy.

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 opens with a specific verb+resource+outcome: 'Fetch and convert a Microsoft Learn documentation webpage to markdown format.' It clearly distinguishes itself from sibling tools by focusing on fetching full page content versus searching or code sample retrieval.

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

Usage Guidelines5/5

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

The description provides explicit when-to-use criteria, a usage pattern that places the tool after microsoft_docs_search, and URL requirements that define valid inputs. This is strong guidance that tells the agent exactly when and how to use the tool versus alternatives.

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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