LeRoy is a personal AI agent framework with memory vault, autonomy features, MCP connectors, and self-maintenance capabilities. It provides tool telemetry, capability gap detection, task outcome scoring, and memory indexing.
The server exposes only a single 'ping' tool with a placeholder description ('Health check, returns 'ok'. Replace with real tools for your system.'). The tool has an empty input schema ({}), no parameter descriptions, and no documented output schema. The description is 67 characters but explicitly states this is a template tool meant to be replaced. No real tools are implemented. The codebase shows telemetry and interrupt-handling infrastructure (post-tool-handler.py) but does not register or expose any production tools via the MCP protocol.
Health check — returns 'ok'. Replace with real tools for your system.
No real tools implemented, only a placeholder 'ping' tool with empty schema and template description
No output schema documented, LLM cannot infer what the tool returns or plan downstream calls
Tool description is a placeholder ('Replace with real tools for your system'), not actionable for LLM selection
No error handling guidance, tool does not indicate what to do if health check fails or how to recover
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | F | 31 | 2026-07-28+ | v2 |