Server has 6 tools with complete JSON schemas and descriptions. Naming follows verb_noun convention (create_, update_, delete_, get_, list_, generate_). Descriptions are present and moderately detailed (100-250 chars), explaining what each tool does and key parameters like cost/image generation. However, parameter descriptions lack specificity on constraints (e.g., no enum for difficulty levels, no min/max for limits). Output schemas are not documented, LLMs cannot predict response structure. Error handling is minimal; no recovery guidance or actionable error messages visible in code. Security: credentials injected via config (good), but no permission gates or audit logging. Composition is sound, tools are single-responsibility and chainable (e.g., list_recipes returns uid for get_recipe).

• Document output schemas for all tools. Example: 'Returns {uid: string, name: string, ingredients: string, directions: string, image_url?: string, created_at: ISO8601}'. LLMs need to know what fields to extract.
• Convert 'difficulty' parameter to enum: {type: 'string', enum: ['Easy', 'Medium', 'Hard']}. Add bounds to 'limit': {type: 'integer', minimum: 1, maximum: 100, default: 50}.
• Add error handling with recovery guidance. Example: 'Recipe not found. Call list_recipes() to find available recipes.' Categorize errors: retryable (network timeout), user-fixable (invalid uid), fatal (auth failure).
• Implement confirmation pattern for delete_recipe. Add optional 'confirm: boolean' parameter or return a confirmation token that must be passed in a second call.
• Add audit logging: log tool calls with timestamp, user/agent ID, tool name, parameters (excluding secrets), and result. Enable permission checks (e.g., only allow delete if user owns recipe).

Inferred effective spec: <=2025-11-25.

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