A Model Context Protocol (MCP) standard server wrapper that acts as a universal gateway for wrapping and exposing tools as MCP-compliant services
This server is non-functional as an MCP implementation. The single tool 'execute_skill_action' has no visible input schema, no parameter definitions, and a trivial description (11 chars). The mcp_server.py merely prints a JSON status message and exits, it does not implement the MCP protocol at all. No request/response handling, no tool invocation mechanism, no error handling. The 'client.py' is a wrapper that returns hardcoded config, not a real MCP server. This is a stub, not a working tool gateway.
Execute a skill action through the MCP gateway
No input schema defined for execute_skill_action. Tool has zero parameter definitions, types, or constraints.
Tool description is 11 characters ('Execute a skill action through the MCP gateway'). This is too vague to guide LLM selection.
No parameter descriptions. The tool accepts unknown inputs with no guidance on what fields, types, or values are valid. LLMs cannot infer parameter meaning from names alone.
No output schema documented. LLMs cannot plan downstream calls or extract results without knowing what fields the tool returns.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | F | 13 | 2026-07-28+ | v2 |
No error handling or recovery guidance. Tool provides no actionable error messages, categorization (retryable vs fatal), or next-step hints for LLMs.