Server has 5 tools with complete input schemas and descriptions. Naming follows verb_noun convention (search_, get_). Descriptions are present and contextual (avg ~150 chars), exceeding the 10-char minimum but below the 50-200 char LLM-optimized range. All parameters have type definitions and descriptions. However, output schemas are not documented, responses are JSON-serialized but structure is not declared. Error handling is minimal (generic exception catch). No pagination support despite search_products accepting max_results. No tool annotations (readOnlyHint, idempotentHint). Parameter descriptions lack format constraints (e.g., city enum not enforced in schema, only documented in text).

• Add outputSchema to each tool definition documenting returned fields (e.g., search_products returns {products: [{id, name, price, availability}], total, query}).
• Convert city parameter to enum in inputSchema: {type: 'string', enum: ['Madrid', 'Barcelona', ...]} instead of relying on description text.
• Add tool annotations: readOnlyHint=true to all tools; idempotentHint=true to get_* and search_products.
• Enhance error handling: catch specific exceptions, return {error: '<message>', recovery: '<next step>'} with actionable guidance (e.g., 'Product not found. Try search_products() with a different query.').
• Add pagination to search_products: include total count in response; consider offset/limit parameters for large result sets.