MCP server for dispatching and orchestrating composable agent plugins with execution graph management
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 (28 chars). The mcp_server.py file contains only a stub that prints JSON and exits, it does not implement the MCP protocol at all. No tool registration, no request/response handling, no schema validation. The code is non-functional as an MCP server.
Execute a skill action through the composable agent plugin harness dispatcher
No input schema visible for execute_skill_action. Tool definition is inferred from name only; no explicit parameter registration, types, or constraints.
Tool description is 28 characters ('Execute a skill action through the composable agent plugin harness dispatcher'). Lacks WHAT, WHEN, and prerequisites. Does not explain when to use this vs other tools or what it returns.
mcp_server.py is a non-functional stub. It prints a JSON status message and exits. Does not implement MCP request/response loop, tool invocation, or protocol handshake. Server cannot receive or process tool calls.
No parameter descriptions. Tool accepts unknown parameters with unknown types and constraints. LLM cannot infer what inputs are required or valid.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | F | 19 | 2026-07-28+ | v2 |
No output schema documented. LLM does not know what fields to expect in the response or how to chain this tool with others.