This server has a single tool 'execute_skill_action' with virtually no definition. The tool name is vague (execute_skill_action is a generic 'do' verb, not specific like 'route_order' or 'dispatch_picker'). No input schema is visible in the source code, the mcp_server.py only prints a JSON status message with no tool registration, parameter definitions, or schema. No parameter descriptions exist. The description 'Execute micro-warehouse picker routing skill action' is generic and does not explain WHAT the tool does, WHEN to use it, or WHAT it returns. The client.py shows a hardcoded mock implementation with no actual tool invocation. This is a stub implementation, not a production MCP server.

• Rename tool to 'route_picker_order' or 'dispatch_micro_warehouse_order', specific verb_noun naming that conveys the action.
• Define input schema with typed parameters: items_count (integer, 1-100), delivery_lat_lng (object with lat/lng floats), darkstore_id (string, optional). Add descriptions for each parameter explaining constraints and format.
• Expand description to 150-250 chars: 'Route a micro-warehouse picker order to optimize aisle sequence and meet 10-minute SLA. Accepts item count and delivery coordinates. Returns optimized aisle route, pick time, dispatch ETA, and SLA guarantee.'
• Implement actual MCP protocol in mcp_server.py: handle Tool/CallTool requests, invoke the routing logic from client.py, return structured responses with all fields (dispatch_token, darkstore_id, picker_aisle_sequence, pick_and_bag_time_seconds, rider_dispatch_eta_mins, total_delivery_duration_mins, sla_10min_guaranteed).
• Document output schema: object with fields dispatch_token (string), darkstore_id (string), picker_aisle_sequence (array of strings), pick_and_bag_time_seconds (integer), rider_dispatch_eta_mins (number), total_delivery_duration_mins (number), sla_10min_guaranteed (boolean).