This server has a single tool 'execute_skill_action' with virtually no implementation. The tool name violates verb_noun conventions (should be 'plan_cleaning_mission' or similar). No input schema is visible in the source code, the mcp_server.py only prints a static JSON response with no tool registration, parameter definitions, or schema. The description is present but generic (48 chars). The actual business logic exists in client.py (LidarDShapeAutonomousFloorMappingRobotClient) but is never wired into the MCP server. The server does not implement the MCP protocol, it merely prints JSON to stdout and exits. No error handling, no parameter validation, no output schema documentation.

• Implement a proper MCP STDIO server that reads JSON-RPC requests from stdin and writes responses to stdout. Use the official MCP Python SDK or implement the protocol manually.
• Define input parameters for the tool: floor_area_sqm (number, 1 - 1000), zone_type (enum: 'multi_room_hardwood_and_carpet', 'single_room', 'commercial'), and any other mission parameters. Add descriptions for each.
• Rename tool to 'plan_cleaning_mission' to follow verb_noun convention and clearly signal intent.
• Document the output schema: mission_id (string), slam_lidar_360_pointcloud_scanned (boolean), d_shape_corner_cleaning_efficiency_pct (number), laser_smart_no_go_lines_active (integer), total_cleaning_time_minutes (number), hepa_allergen_filtration_efficiency_pct (number), auto_resume_after_charge (boolean).
• Integrate the LidarDShapeAutonomousFloorMappingRobotClient logic into the MCP server's tool handler so calls actually execute the mission planning logic.