Critical failures across all dimensions. The single tool 'execute_skill_action' has a reasonable name and description (78 chars), but the input schema is severely underdeveloped. Parameters lack type definitions in the visible schema, only string types are declared with minimal descriptions. No output schema is documented anywhere in the codebase. The client.py mock returns a hardcoded response with no connection to actual MCP protocol handling. The mcp_server.py does not implement the MCP protocol at all, it merely prints a JSON status message and exits. No tool registration, no request/response handling, no error handling, no validation. This is a stub, not a functional MCP server.

• Implement the full MCP protocol: add a request/response loop in mcp_server.py that parses incoming JSON-RPC messages, dispatches to tool handlers, and returns properly formatted responses.
• Document the complete output schema for execute_skill_action with all fields (dspm_audit_id, storage_uri, pii_financial_phi_entities_classified, etc.), their types, and descriptions.
• Add input validation: constrain cloud_account_arn to match AWS ARN format (regex: ^arn:aws:iam::\d{12}:root$), and storage_target to valid S3 URIs (regex: ^s3://[a-z0-9.-]+(/.*)?$).
• Add error handling with recovery guidance: document what happens if the ARN is invalid, the S3 bucket is not accessible, or the audit times out. Return actionable error messages.
• Add security documentation: clarify how AWS credentials are injected (environment variables, IAM role), confirm no secrets appear in parameters, and document audit logging for compliance.