Server has 6 tools with basic schemas and descriptions, but significant gaps limit production readiness. All tools have descriptions (10-200 chars, within baseline range) and input schemas with type definitions. However, parameter descriptions are sparse or missing context. Output schemas are undocumented, LLMs cannot predict return structure. Error handling returns generic messages without recovery guidance. No tool annotations (readOnlyHint, destructiveHint). Naming is verb-forward but some tools overlap in responsibility (search_similar_projects vs find_documents). No pagination support despite MongoDB queries that could return large result sets. Average tool score: 48/100.

• Document output schemas for all tools. Use JSON Schema to declare return types: e.g., list_recent_proposals returns {type: 'array', items: {type: 'object', properties: {id: {type: 'string'}, requirements: {type: 'object'}, created_at: {type: 'string'}, proposal_snippet: {type: 'string'}}}}.
• Consolidate search_similar_projects and find_documents into a single search_projects tool with optional filters. Reduce cognitive load on LLM tool selection.
• Add pagination: offset/limit or cursor-based. Return total_count and has_more flags. Cap default limit to 20, max to 100.
• Enhance error messages with recovery hints. E.g., 'Database connection failed. Verify MONGODB_URI is set and MongoDB is running. Retry in 5 seconds.' instead of 'Error connecting to MongoDB'.
• Add tool annotations via FastMCP: @mcp.tool(annotations={'destructiveHint': True}) for save_proposal and insert_document; @mcp.tool(annotations={'readOnlyHint': True}) for search/find/list/aggregate tools.