The server has 6 well-structured tools with clear action verbs and mostly complete input schemas. However, there are significant gaps in error handling guidance, output schema documentation, and some parameter descriptions lack depth. Tools follow basic naming conventions (verb_noun), but descriptions could be more LLM-optimized with usage context. Parameter validation constraints are absent from descriptions (e.g., 'price must be positive' is mentioned in docstring but not formalized in schema). Error responses return generic error objects without recovery guidance. No tool annotations (readOnlyHint, destructiveHint) despite clear read/write/destructive risk classifications. Output schemas are not documented, LLMs must infer structure from response examples. Overall, this is solid foundational work (above average for community servers) but lacks production-grade polish around error guidance and output contracts.

• Add readOnlyHint, destructiveHint annotations to FastMCP tool decorators. E.g., @mcp.tool(readOnlyHint=True) for list_products, get_product, get_categories; @mcp.tool(destructiveHint=True) for delete_product.
• Enhance error messages with recovery guidance. Instead of {'error': 'Product {product_id} not found'}, return {'error': 'Product {product_id} not found. Call list_products() to see available product IDs or create_product() to add a new product.'}
• Document output schemas as structured return type hints. E.g., 'Returns List[{"id": int, "name": str, "price": float, "category": str, "in_stock": bool}]' in the docstring.
• Formalize parameter constraints in parameter descriptions: 'price: Product price in cents (must be > 0, max 9,999,999)' instead of just 'Product price (must be positive)'.
• Add a confirm_delete_product tool or implement a soft-delete via a 'dry_run' boolean parameter on delete_product to prevent accidental cascading deletion.
• Clarify idempotency guarantees in update_product description: 'Idempotent operation, calling repeatedly with the same product_id and update_data yields the same result.'
• Consider batch operations: add create_products(products: List[ProductCreate]) and update_products(updates: List[UpdateRequest]) to reduce sequential calls and token overhead when bulk operations are needed.
• Add pagination parameters to list_products: include 'offset', 'total_count' in response. Current limit-only approach works but doesn't handle large catalogs efficiently.