Server has 6 tools with basic schemas and descriptions, but significant quality gaps. All tools have input schemas with type definitions and descriptions present. However, descriptions are in Japanese and very brief (10-20 chars), falling below the 20-char minimum for scoring above 0-20 range. No output schemas documented. Tools lack error handling guidance, parameter constraints (enums), and composition clarity. Tool naming follows verb_noun pattern (getDocument, searchDocuments) but is repetitive across three API doc variants (anthropic, gemini, openapi) without clear differentiation. No tool annotations (readOnlyHint, idempotentHint). Parameter descriptions are minimal ('ドキュメントのURL' = 'Document URL'). No pagination support despite search tools that could return large result sets. Response structure is ad-hoc (success/message/results) rather than following a consistent schema pattern.

• Expand tool descriptions to 50-200 characters in English. Example: 'Retrieve the full content of an API documentation page by URL. Use after search_documents() to get detailed information. Returns title, URL, and markdown content.'
• Document output schemas explicitly. Define return structure: { success: bool, document?: { title: string, url: string, content: string }, message?: string, results?: Array<{title, url, preview}> }.
• Consolidate three tool pairs into single tools with an 'api_type' enum parameter (anthropic|gemini|openapi). Reduces cognitive load and prevents LLM confusion.
• Add pagination to searchDocuments tools: accept 'limit' (1-100, default 20) and 'offset' parameters; return 'total_count' and 'has_more' fields.
• Add error recovery guidance: 'URL not found. Available URLs: [list]. Try search_documents() to discover valid documentation pages.' Include actionable next steps in error responses.

Inferred effective spec: <=2025-11-25.

• Relies on Logging (deprecated) - log to stderr or use OpenTelemetry