Four tools with clear verb-noun naming (search_, get_, list_, scale_). All have descriptions and input schemas with typed parameters. However, parameter descriptions are sparse or missing entirely (e.g., 'servings' in get_recipe lacks guidance on valid range; 'factor' in scale_ingredients has no bounds). Output schemas are not documented in the visible code. Tool descriptions are adequate (40-60 chars) but lack WHEN/WHY guidance and dependency hints. No error handling guidance visible. Composition is sound, tools chain logically (search → get → scale). Security is good (read-only, no secrets). Missing: output schema documentation, parameter validation rules, error recovery guidance.

• Document output schemas for all four tools. Specify return type (object/array), field names, types, and descriptions. E.g., search_recipes returns [{id: number, title: string, url: string}, ...]. This enables LLM planning.
• Add validation rules to parameter descriptions. E.g., 'servings: number (1 - 100, default 1)' and 'factor: number (0.1 - 10, e.g., 0.5 for half recipe)'. Include format hints for strings.
• Expand tool descriptions to 100 - 150 chars with WHEN/WHY context. E.g., 'Search the Cookbook by dish name or ingredient. Returns recipe IDs and titles. Call this first to find a recipe, then use get_recipe with the id.'
• Add error recovery guidance in descriptions. E.g., 'If no results, try list_recipes with a cuisine or ingredient category.' This guides LLM fallback behavior.
• Clarify pagination strategy. If results are capped at 20, state it in the description. If offset/limit params exist, document them. If not, add them to prevent context window overflow.

Inferred effective spec: 2025-06-18+.

• Relies on Logging (deprecated) - log to stderr or use OpenTelemetry