An MCP server that optimizes token usage by intelligently filtering and injecting relevant tools from multiple MCP servers into the context based on agent task descriptions
Critical failures across all dimensions. The single tool 'execute_skill_action' has no visible input schema, no parameter descriptions, and a generic 1-line description (26 chars). The mcp_server.py file contains only a hardcoded JSON startup message with no actual MCP protocol implementation, no tool registration, no schema definitions, no request/response handling. The 'client.py' file is a standalone utility unrelated to MCP protocol. No evidence of proper tool definition, parameter validation, or error handling. This is a non-functional MCP server stub.
Execute a skill action through the MCP gateway token optimizer
Tool description is 26 characters ('Execute a skill action through the MCP gateway token optimizer'). This is barely above minimum and provides no actionable context for LLM selection.
No parameter descriptions visible. The tool accepts parameters but none are documented.
mcp_server.py contains only a static JSON print statement. No actual MCP protocol implementation: no request parsing, no tool invocation handler, no response formatting. This is a non-functional stub.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | F | 19 | 2026-07-28+ | v2 |
No error handling, no output schema documentation, no pagination support, no recovery guidance. Tool is READ_ONLY but no idempotentHint annotation present.