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MCP server for real-time FastAPI documentation access
FastAPI Docs MCP demonstrates good foundational quality with clear, verb-based tool names and well-structured parameter schemas. All 6 tools have descriptions and documented input parameters with type definitions. However, output schemas are not visible in the provided source, and parameter descriptions, while present, lack specificity around constraints, formats, and expected ranges. Tool descriptions are adequate but somewhat generic. Error handling is mentioned in features but implementation details are not evident. The server uses proper naming conventions (get_*, search_*, list_, compare_*, etc.) and input schemas show proper JSON typing. Main gaps: undocumented output structures, missing parameter-level constraints (enums, ranges), and lack of visibility into error recovery guidance.
Compare FastAPI approaches side-by-side (e.g. sync vs async, auth methods). Args: topic: What to compare, e.g. "sync-async", "auth-methods", or any topic.
Get FastAPI best practices for a topic (curated, expert-selected guidance). Args: topic: Topic to get best practices for, e.g. "security", "testing", or "performance".
Fetch FastAPI documentation content for a page by its path. Args: path: Doc path, e.g. "tutorial/first-steps" or "advanced/websockets".
Get code examples (no prose) for a FastAPI topic. Args: topic: Topic to fetch examples for, e.g. "cors", "jwt", or "websockets".
List all available FastAPI doc pages, categorized by section.
Search the docs by keyword and return the best-matching page. Common aliases are supported (e.g. "auth" finds security pages). Args: query: Search term, e.g. "cors", "database", or "websocket".
Output schemas not documented. Tools return content/examples/comparisons/practices but return structure is not visible in provided source. LLMs cannot predict what fields to extract or chain downstream operations.
Parameter descriptions lack actionable constraints. 'Doc path' and 'Search term' and 'Topic' are too vague. Should specify: format (e.g., 'lowercase with hyphens'), valid range (e.g., 'must match published sections'), or examples of valid/invalid values. Examples given ('tutorial/first-steps', 'cors') should be moved to enums or pattern constraints, not prose.
Inferred effective spec: <=2025-11-25.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-22 | B | 71 | <=2025-11-25 | v2 |
| 2026-03-09 | F | 0 | - | v1 |
Tool descriptions are generic and under-optimized for LLM selection. E.g., 'Fetch FastAPI documentation content for a page by its path' does not explain WHEN to use this vs search_fastapi_docs, or what format the return value takes. Descriptions should answer: What does it do? When to call it instead of similar tools? What does it return?
No visible input validation or error recovery guidance in source. If a user passes an invalid path or topic, what happens? Does the tool return 'not found' with suggestions for valid options? Or a bare 404? Error messages should guide LLM to recovery actions (e.g., 'Topic not found. Try search_fastapi_docs("keyword") or call list_fastapi_pages() for available pages.').
Pagination and result limits not documented. Tools like search_fastapi_docs and list_fastapi_pages may return large result sets. Should specify: max results returned, pagination support (offset/limit or cursor), and guidance on chunking large outputs to avoid context window explosion.