This is a learning repository, not a production MCP server. The repository contains multiple standalone learning projects (day1-6) in separate directories with different package.json files. Only day6/tools.ts contains a single tool definition for searchDocs. The tool lacks proper MCP registration, has minimal schema information visible, and no evidence of MCP protocol implementation. The codebase appears to be educational material exploring RAG/embeddings concepts rather than a functional MCP server.

• Add explicit JSON Schema to the searchDocs input parameter: include type='string', minLength, maxLength, and a pattern constraint if applicable (e.g., disallow empty queries or URLs). Example: {'type': 'string', 'minLength': 1, 'maxLength': 500, 'description': 'Search query text (1-500 chars). Use AND, OR, NOT for boolean operators. Supports quoted phrases for exact match.'}
• Expand tool description to 80-150 characters explaining: what documents are searchable, what the hybrid search combines (vector embeddings + keyword matching), expected response structure, and when to use this vs. a simpler keyword search. Example: 'Searches indexed documents using both semantic vector similarity and keyword matching. Returns up to 20 most relevant documents with scores. Use for natural-language queries about domain knowledge.'
• Document the output schema explicitly. Specify that results are a list of documents with fields: document_id (string), text (string), similarity_score (number 0-1), metadata (object). Cap results at 20 and add a 'limit' input parameter.
• Add a 'limit' parameter (optional, default 20, range 1-100) to control result count and prevent context window exhaustion.
• Implement proper MCP server scaffolding using @modelcontextprotocol/sdk, not raw JavaScript exports. Register the tool with McpServer.tool() and implement proper input validation and error handling.
• Add error handling that returns actionable messages: 'No results found for query. Try: broader terms, removing filters, or search_by_category() for available categories.' instead of propagating raw exceptions.