This server has two tools with extremely minimal documentation. Both tools lack meaningful descriptions and parameter details. The getProducts tool has zero parameters, and getProduct has only a basic string parameter with minimal guidance. No output schemas are documented. No error handling guidance is provided. The tool definitions are visible in the source code (ProductService.java), but the descriptions are generic and unhelpful for LLM selection. According to baseline rubric expectations, A+ tools average 194 chars in description and 100% have parameter annotations, this server provides ~20 chars per tool with minimal parameter context.

• Expand getProducts description to 80-150 chars: 'Retrieves all products in the catalog. Returns an array of product objects with id, name, price, and description. Limit results to 50 items per call; use offset/limit for pagination. Call this to discover available products before searching by name.'
• Expand getProduct description to 100-150 chars: 'Searches for a single product by exact name match. Returns the matching product object with id, name, price, description, and stock status. If no match found, returns null, consider calling getProducts() to verify the product exists first.'
• Add output schema documentation inline or in code comments. Document return type for each tool: getProducts → {products: [{id: string, name: string, price: number, description: string}], total: number}; getProduct → {id: string, name: string, price: number, description: string, inStock: boolean} | null
• Add pagination support to getProducts: accept optional 'limit' (default 50, max 100) and 'offset' (default 0) parameters with descriptions. Return total count in response.
• Add constraint guidance to getProduct 'name' parameter: 'Product name (case-insensitive, e.g. "Widget A"). Returns exact match or null if not found.'
• Add error handling guidance: 'If search returns no results, the product may have been removed or the name may be misspelled. Call getProducts() to browse the full catalog.'
• Consider splitting into three tools for better composition: getProducts (list all), searchProducts (fuzzy search by name/category), getProductById (lookup by ID). This enables agents to compose search strategies.