Three tools with basic definitions and schemas, but significant gaps in parameter descriptions and error handling guidance. Tool names follow verb_noun convention (search, read, recommend) and are action-oriented. Schemas are present and properly typed. However, parameter descriptions are minimal (1-2 sentences) and lack actionable guidance on format, constraints, or dependencies. Output schemas are not documented. Error handling provides no recovery guidance. The server is functional but falls short of production-grade quality expected in A/B range.

• Add bounds to 'limit' parameter: 'Maximum number of results to return (1-100, default 20). Larger limits may timeout the service.'
• Document output schemas for all three tools. E.g., 'Returns an array of {url: string, title: string, summary: string, relevance: number}' for search_documentation.
• Expand tool descriptions to explain selection logic: 'Use search_documentation to find docs by keyword. Use recommend after reading a doc to discover related topics.' This guides LLM tool selection.
• Add error recovery guidance: 'If no results found, try a broader search phrase. If a URL returns 404, verify it against the AWS documentation index.' This helps agents self-correct.
• Rename 'recommend' to 'get_related_documentation' or 'search_related_documentation' for clarity.
• Add 'search_phrase' format guidance: 'Use natural keywords (e.g. "Lambda concurrency", not "lambda-concurrency"). Partial matches are supported.'
• Document whether results are paginated and, if so, how to navigate pages (offset/limit, cursor, etc.).