This server has critical definition failures. The single tool 'execute_skill_action' has no visible input schema, no parameter descriptions, and a generic 1-line description (18 chars). The mcp_server.py file does not implement the MCP protocol, it merely prints a JSON status message and exits. There is no tool registration, no schema validation, no parameter handling, and no actual MCP message loop. The tool definition is inferred from example_usage.py, not explicitly registered. This is not a functional MCP server.

• Add explicit JSON Schema for execute_skill_action input: define fleet_config (object with agent_image, replicas, etc.), target_cluster_region (enum: us-east-1, us-west-2, etc.), and any other parameters. Include type, description, and constraints for each.
• Expand tool description to 50 - 200 characters. Example: 'Deploy a fleet of autonomous agent containers to a target AWS region. Accepts fleet configuration (image, replica count) and returns deployment status, container count, and health check URL.'
• Add parameter descriptions: 'fleet_config (object): Container image URI and replica count. Example: {"agent_image": "genpark-agent-runtime:v2.0", "replicas": 12}' and 'target_cluster_region (string, enum): AWS region for deployment. Valid: us-east-1, us-west-2, eu-west-1.'
• Implement a proper MCP message loop in mcp_server.py. Use the official MCP SDK or implement JSON-RPC 2.0 message handling to receive tool calls, invoke the client, and return structured responses.
• Add error handling: return structured errors with classification (retryable vs. fatal), the invalid value if applicable, and recovery guidance. Example: 'Invalid region: got "us-south-1", must be one of: us-east-1, us-west-2, eu-west-1. Retry with a valid region.'