Critical failures across all dimensions. The single tool 'execute_skill_action' has no visible input schema, no parameter descriptions, and a generic description (58 chars). The mcp_server.py file contains only a stub that prints JSON and does not implement the MCP protocol, no tool registration, no request/response handling, no schema definitions. The client.py and example_usage.py files are disconnected from the MCP server and do not define the tool interface. No error handling, no output schema documentation, and no evidence of actual MCP protocol compliance.

• Define the tool schema in mcp_server.py with explicit input parameters: robot_embodiment_type (enum: Bimanual_7DoF_Manipulator_Tactile, Humanoid_Dual_Arm_Dexterous_Hands, etc.), natural_language_instruction (string, 10-500 chars), and any others. Each parameter must have a type and description.
• Expand tool description to 100-200 chars explaining: 'Plans a visuomotor trajectory for robotic manipulation tasks using RGB-depth-tactile fusion. Accepts natural language instructions and robot embodiment type. Returns a trajectory plan with success metrics and collision avoidance latency. Use this to generate manipulation policies for deformable object handling.'
• Document the output schema with all fields: trajectory_plan_id (string), robot_hardware (string), task_instruction (string), rgb_depth_tactile_fusion_active (boolean), end_effector_waypoint_hz (number), deformable_object_handling_success_rate_pct (number), zero_shot_generalization_cross_embodiment (boolean), collision_avoidance_latency_ms (number).
• Implement actual MCP protocol handling in mcp_server.py: parse JSON-RPC requests, dispatch to tool handlers, return structured responses with proper error messages. The current stub does not handle any MCP messages.
• Add error handling: return actionable errors like 'Invalid robot_embodiment_type: got "Unknown_Robot", must be one of: Bimanual_7DoF_Manipulator_Tactile, Humanoid_Dual_Arm_Dexterous_Hands' and 'Trajectory planning failed: collision detected. Retry with a different natural_language_instruction or robot_embodiment_type.'