This server has a single tool 'execute_skill_action' with critical definition gaps. The tool description exists but is generic (67 chars). No input schema is visible in the source code, the mcp_server.py file only prints a JSON status message with no actual tool registration, parameter definitions, or schema. The client.py and example_usage.py files show a Python class for sandbox isolation but do NOT constitute MCP tool definitions. Tool registration, input parameters, parameter types, parameter descriptions, and output schema are all absent from the codebase. The tool cannot be evaluated as a proper MCP tool because it is not actually registered with the MCP protocol.

• Implement proper MCP server protocol in mcp_server.py. Use an MCP library (e.g., mcp-python) to register tools with full JSON Schema definitions, not a static JSON print statement.
• Define input schema for execute_skill_action with required parameters: agent_id (string), allowed_capabilities (array of strings with enum constraint), skill_action (string), and any action-specific parameters. Include type, description, and constraints for each.
• Expand tool description to 100-200 chars explaining: (1) what the tool does (executes skill actions in isolated sandbox), (2) when to use it (when agent needs to run code/tests with least-privilege constraints), (3) what it returns (session_id, status, granted_capabilities, resource limits).
• Document output schema with fields: session_id (string), sandbox_status (enum: ISOLATED_CONTAINER_RUNNING, FAILED, EXITED), granted_capabilities (array), blocked_syscall_filters (array), memory_limit_mb (integer), cpu_quota_cores (number), ephemeral_cleanup_on_exit (boolean).
• Add error handling with actionable messages: 'Invalid capability: got "WRITE_ROOT", allowed: READ_WORKSPACE, RUN_UNIT_TESTS, WRITE_GIT_BRANCH' and 'Sandbox creation failed: insufficient memory. Reduce memory_limit_mb or retry later.'