This is not an MCP server, it is a LangGraph agentic application that CONSUMES MCP tools via ToolboxClient. The codebase shows one custom tool (search_hdb_amenities) defined as a LangChain @tool decorator, not as an MCP-compliant server. The tool has a reasonable description but lacks proper input schema validation, error handling guidance, and structured output documentation. The application demonstrates multi-agent routing and tool composition but does not expose an MCP protocol interface for external clients. Scoring is conservative because: (1) this is not an MCP server implementation; (2) the one visible tool lacks schema rigor; (3) error handling is minimal; (4) no MCP-specific patterns are evident.

• Clarify repository intent: this is a LangGraph multi-agent application, NOT an MCP server. If the goal is to build an MCP server, implement proper stdio/HTTP transport, tool registration with JSON Schema, and MCP protocol handshake.
• If this remains a LangGraph app: document that it is an MCP CLIENT (via ToolboxClient), not a server. Make it clear that MCP server implementations are external.
• For search_hdb_amenities, declare a formal input schema with query constraints: { 'type': 'object', 'properties': { 'query': { 'type': 'string', 'minLength': 5, 'maxLength': 200, 'description': 'Natural language search query for amenities near a specific HDB block or town in Singapore' } }, 'required': ['query'] }.
• Document the output schema: Tavily returns what fields? Specify the expected structure (e.g., list of objects with 'title', 'url', 'content' fields) so the LLM can extract and chain results.
• Add error handling with recovery guidance: catch timeout/network errors and suggest retry; if Tavily returns no results, suggest rephrasing the query or checking the block/town name.
• Remove example queries from the tool description text. Rewrite as: 'Search for amenities, schools, supermarkets, MRT stations, and transport hubs near HDB blocks and towns in Singapore. Use specific block names (e.g., "Block 123 Ang Mo Kio") or town names (e.g., "Tampines") for best results.'
• If exposing this as an MCP server, implement proper tool registration in an MCP-compatible framework (e.g., using mcp library for Python) with stdio or HTTP+SSE transport, and ensure the schema is JSON Schema compliant.