This server has critical definition gaps. Both tools have minimal descriptions (under 50 chars) and lack parameter descriptions entirely. The single_product tool accepts a 'title' parameter with no type annotation visible in the schema provided, and product_list has an empty input schema. No output schemas are documented. Tool names follow verb_noun convention (positive), but descriptions are too terse to guide LLM selection. No error handling, validation rules, or recovery guidance. The codebase shows Spring AI integration but tool definitions appear auto-generated from method signatures without explicit schema enrichment.

• Expand tool descriptions to 100-200 characters. Example: 'single_product: Search for a product by exact or partial title. Returns product ID, name, price, and description. Use this when the user specifies a product name. If not found, try product_list to browse available items.'
• Add parameter descriptions. For 'title': 'Product name or partial name to search for (case-insensitive, min 2 chars). E.g., "iPhone" or "MacBook Pro".'
• Document output schemas explicitly. Specify: 'Returns object with fields: id (string), name (string), price (number), description (string), in_stock (boolean).'
• Add pagination to product_list. Include parameters: limit (1-100, default 20), offset (default 0). Return total_count and next_offset to enable multi-page browsing.
• Add error handling. Return structured errors: '{"error": "product_not_found", "message": "No product matches title \"xyz\". Try product_list to see available items."}' instead of raw exceptions.