The server defines 2 tools with basic descriptions and simple input schemas. However, definitions lack depth, output schemas are completely undocumented, and error handling returns raw error messages without recovery guidance. Naming follows verb_noun convention (search_products, get_product) which is a positive signal. Both tools are READ_ONLY, reducing risk, but definitions fall short of production-grade standards. No parameter constraints (enums, ranges), no output documentation, and error messages are generic. The average of the two per-tool scores (52.5) reflects fair naming but poor schema and error handling coverage.

• Document the complete output schema for search_products: specify field names, types, and what 'confidence' range means (0-100? 0-1?). Example: '{"results": [{"product_id": int, "name": string, "confidence": float}], "total": int}'
• Document the complete output schema for get_product: list all fields returned (id, name, description, price, etc.) with types and whether they are always present or optional.
• Replace error handling with actionable recovery guidance. Instead of 'Failed to search products. <message>', return 'Could not search products. Verify query contains valid product names (e.g., "laptop", "keyboard"). Try a shorter or simpler search term.' with suggested retry parameters if applicable.
• Add explicit constraints to search_products query parameter: 'Search query (2-256 chars, alphanumeric + spaces). Use partial names (e.g., "lap" matches "laptop"). Fuzzy matching tolerates minor spelling variations.'
• Add explicit constraints to get_product productId parameter: 'Product ID (positive integer, valid range: 1-999999). Use search_products to discover valid IDs if you only have a product name.'
• Expand get_product description to 50+ chars: 'Retrieve full product details by ID, including name, description, price, stock status, and specifications. Call search_products first if you only have a product name.'
• Add composition hint in search_products description: 'Returns product_id for each match; pass to get_product for full details, images, and reviews.'
• Implement pagination for search_products. Add limit (default 20, max 100) and offset parameters. Return total count so LLM knows when to fetch next page.