This server exposes 17 read-only tools for a data governance platform. While all tools have descriptions and most parameters are documented, there are systematic gaps in schema formalization, parameter constraint specification, and error handling guidance. All tools are READ_ONLY, which is appropriate, but the schema definitions lack proper JSON Schema type declarations that would be visible to LLMs. The tool naming follows verb-noun convention (get_*, list_*), which is good, but parameter naming has inconsistencies (camelCase vs snake_case). Most critically, output schemas are not documented, making it impossible for LLMs to understand what fields to extract or chain downstream calls. Tools like get_data_categories accept 13 parameters with minimal constraint documentation (no enums for clearance/data_class despite being enumerated lists). Error handling is absent, no recovery guidance, no classification of failure modes. The server implements fastmcp, which is modern, but the tool definitions themselves lack the rigor needed for confident agent deployment.

• Add explicit output schema documentation for every tool. Example: 'Returns: dict with keys: uuid (str), name (str), description (str), clearance (str: CLASSIFIED|SENSITIVE|COMMON), created_at (ISO 8601 date), properties (dict). For pagination tools, include total_count and has_next fields.'
• Convert clearance, data_class, and relation_internal_type parameters to proper enums in the schema. Do not rely on description text to document valid values.
• Standardize parameter naming across tools: use snake_case everywhere (not camelCase for some, snake_case for others). Rename propertiesNames → properties_names, teamsCodes → team_codes, etc.
• Add dependency documentation to UUID-lookup tools: 'If you only have a name, call get_data_categories(search="your_name") first to retrieve the UUID.' This guides multi-step planning.
• Implement structured error responses: instead of returning None, return {"error": "Resource not found: category with UUID abc123", "recovery": "Call get_data_categories(search=...)", "retry": false}. This enables LLM self-correction.
• Enforce pagination limits: document and validate that size <= max (e.g., size <= 100) in tool implementations. Return total_count and has_next in responses so LLMs know when to stop fetching.
• Make UUID-lookup tools also accept name/identifier parameters as alternatives. Example: get_data_category_by_uuid(uuid) or get_data_category_by_uuid(name='Customer PII'). Resolve internally to UUID.
• Improve tool descriptions with context. Instead of 'Retrieves the list of DataCategories', write: 'Retrieves Data Categories, business-level classifications of data fields by sensitivity, ownership, and retention policy. Use this to explore the data governance model or find categories matching a search term.'