Server provides 5 well-named, verb-first tools with complete input schemas and solid descriptions (avg 180 chars). All tools are READ_ONLY and stateless. However, output schemas are undocumented, LLMs cannot predict response structure for downstream chaining. Parameter descriptions are present but lack constraint details (ranges, formats, patterns). Error handling exists but lacks recovery guidance. No tool annotations (readOnlyHint, etc.) despite all being read-only. Missing idempotency guarantees and batch operation variants.

• Document output schemas for all tools. Example for validate_schema: 'Returns {valid: boolean, errors: [{path: string, message: string, keyword: string}], data: any}'. This enables LLMs to extract validation errors and plan recovery.
• Add readOnlyHint: true to all 5 tool definitions in ListToolsRequestSchema. Clients will cache results and apply stricter safety policies.
• Enhance parameter descriptions with constraints: 'samples (array, min 1 item): ...', 'count (number, 1-1000, default 1): ...', 'seed (number, 0-2^31-1): ...'.
• Improve error messages with recovery guidance. E.g., 'Provide either schema (JSON Schema object) or json (sample data). If you have neither, call generate_json_schema first with sample data.'
• Add a batch_mock_from_schemas tool accepting array of schemas and returning array of mock data sets, reducing multi-schema workflows from N calls to 1.