Spice Bae provides 9 tools with basic naming, descriptions, and schemas, but falls short of production-grade quality. All tools follow a clear verb-noun pattern (get_, list_, find_, compare_) which is excellent. Descriptions are present and reasonably detailed (range 50-200 chars), exceeding the minimum. However, several critical gaps exist: (1) Many parameter descriptions are minimal or repetitive. (2) No output schema documentation, tools return strings, but their structure is undocumented. (3) No error handling guidance, tools fail silently with DB errors but provide no recovery hints. (4) No input validation or constraints (e.g., limit defaults to 5-10 with no bounds). (5) Tool definitions are inferred from @gr.mcp.tool() decorators; actual registration logic not visible in provided code, capping inference-based tools. The server demonstrates basic competence but lacks the polish and consistency expected of production tools.

• Add explicit output schema documentation for each tool. Example: get_spice_information should document 'Returns object with fields: {name, description, nutrients: {name, amount, unit}, source}'.
• Wrap database calls in try-catch blocks and return structured error responses. Example: 'Spice "invalid-name" not found. Available spices: turmeric, ginger, cinnamon. Call list_available_spices() to see all options.'
• Add JSON Schema constraints to parameters: mark limit as integer with minimum=1, maximum=100; spice_name as pattern matching known spice names or reference list_available_spices().
• Consolidate repetitive parameter descriptions. Store a shared registry of 'spice_name', 'limit', 'criteria' descriptions and reference them consistently.
• Add input validation in each tool: validate spice_name exists, validate nutrient_name is recognized, validate limit is within bounds (1-50 default 5).
• Document what each tool returns in plain language at the end of its description. Example: 'Returns a formatted string comparing nutrient profiles side-by-side.' Then link to a structured schema example.
• Add tool annotations: mark all tools as readOnlyHint=true since they never modify data. No tools are destructive or have side effects.
• Implement a discovery tool or enrich get_spice_information to include related tools. Example: 'To find substitutes, call find_spice_substitutes("cinnamon")' in the response.