This portfolio contains multiple disconnected applications with minimal tool definitions. Only 5 tools are exposed, with severe gaps: 3 of 5 tools lack visible input schemas (validate_ticket, list_tickets, search_properties_vector show no schema details in source); descriptions are present but generic (10-80 chars, below the 194-char baseline); no output schemas documented; no error handling guidance; no parameter validation rules. The codebase shows FastAPI/LangChain usage but no MCP server implementation visible. Tools appear to be loaded from external Toolbox service (ToolboxClient), not defined locally. This is a portfolio of demo applications, not a production MCP server.

• Implement a proper MCP server (using mcp Python SDK or similar) that registers tools with full JSON Schema definitions, not external Toolbox delegation.
• Add complete input schemas for validate_ticket, list_tickets, and search_properties_vector with explicit type, description, and constraint declarations.
• Expand tool descriptions to 100-200 characters, answering: What does it do? When should the LLM call it? What does it return? Example: 'Validate a flight ticket before booking. Returns validation status and any constraint violations (e.g., invalid airport code, date in past). Call before insert_ticket to prevent booking errors.'
• Document output schemas for all tools. For insert_ticket, specify: {ticket_id: string, confirmation_number: string, status: enum[pending|confirmed|failed]}. For list_tickets, specify pagination (limit, offset, total_count) and per-ticket fields.
• Add error handling guidance: 'If validation fails, return error code + constraint violated (e.g., "Invalid airport: LAX not found. Valid codes: SFO, LAX, JFK"). If insert fails due to duplicate, suggest search_tickets() to find existing booking.'