Single tool 'execute_skill_action' has a reasonable description (89 chars, within 10-1024 range) and three parameters with type definitions. However, critical gaps undermine quality: (1) Tool name lacks action verb, 'execute_skill_action' is generic and vague; should be 'select_best_courier' or 'route_shipment'. (2) Parameters lack descriptions entirely, 'destination_pincode', 'payment_type', 'parcel_weight_kg' have no guidance on format, constraints, or valid values. (3) No output schema documented, client.py shows a hardcoded response structure, but the MCP server definition does not declare what fields the tool returns. (4) No error handling or recovery guidance. (5) Tool definition is inferred from client.py, not explicitly registered in mcp_server.py, the server only prints a JSON status message and does not implement actual tool invocation.

• Rename tool to 'select_best_courier' or 'route_shipment_by_rto_risk' to start with a clear action verb and signal intent to LLMs.
• Add descriptions to all three parameters: destination_pincode (e.g., '6-digit Indian postal code, e.g. 560001'), payment_type (enum: COD, Prepaid), parcel_weight_kg (numeric range, e.g., 0.1 - 30 kg).
• Document the output schema in mcp_server.py: declare that the tool returns {shipment_token, destination_pincode, selected_courier, predicted_rto_risk_pct, buyer_whatsapp_address_preverified, instant_ndr_automated_call_enabled} with field types and descriptions.
• Implement actual tool invocation in mcp_server.py instead of just printing a status message. Use the MCP protocol to register tools with full schemas and handle tool calls.
• Add error handling: return structured errors like 'Invalid pincode: must be 6 digits' or 'No couriers available for destination' with recovery guidance (e.g., 'Try a nearby pincode' or 'Check if destination is serviceable').