This MCP server defines 6 tools for analyzing post-Thudong survey feedback with reasonable structure. All tools have descriptions and input schemas visible in src/server-sse.js. Naming follows verb_noun convention (search_, get_, compare_). However, there are systematic gaps: (1) Tool descriptions lack WHEN/WHY guidance for LLM selection, they state WHAT but not when to prefer one tool over another. (2) No output schemas are documented, responses are inferred from names but not formally specified. (3) Parameter descriptions are minimal (1-2 phrases) and lack constraints, ranges, or validation guidance. (4) No error handling patterns are evident in the tool definitions. (5) Thai-language descriptions are domain-specific but not optimized for LLM reasoning. The tools themselves are well-scoped (one concern each) and follow a clear data model (feedback search, statistics, grouping), but lack the depth expected in production tools.

• Document output schemas for all 6 tools. Example for search_feedback: {type: 'object', properties: {results: {type: 'array', items: {type: 'object', properties: {text: string, type: 'impressed'|'suggestion', respondent_type: string}}}, total_count: number, limit: number}}
• Revise tool descriptions to include WHEN/WHY guidance. Example: 'search_feedback: Use this to find specific feedback mentions (e.g., "find all mentions of food"). Use get_improvements instead if you want grouped suggestions by topic.' Add 2-3 sentences of differentiation.
• Add constraint documentation to parameters. Example for search_feedback.query: 'Search term (1-50 characters). Supports Thai and English. Case-insensitive.' For limit: 'Maximum results to return (1-100, default 10).'
• Add error handling guidance in tool descriptions. Example: 'If no results found, the tool returns an empty array. Try a shorter or different query term. If the category is invalid, returns error code 400 with message listing valid categories.'
• Expand respondent_type enum descriptions to include English context. Change 'student=นักศึกษา' to 'student: monks and participants attending the Thudong retreat'.
• Document whether results are paginated. If search_feedback can return >1000 matches, add page/offset parameters and document cursor-based pagination.
• Add idempotency and timeout guarantees to tool descriptions. These are read-only operations (safe to retry), but document expected response times for large queries.
• Include example use cases in descriptions. Example: 'search_feedback: "Find all feedback mentioning food quality to identify dietary improvement areas."'

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

• Relies on Stateful initialize / Mcp-Session-Id (removed; protocol is stateless) - make each request self-contained