Code intelligence and RAG for AI agents. Semantic search, call graphs, impact analysis, type dependencies, and smart context assembly — in single tool calls. 54 languages + L5X/L5K PLC exports. Local-first, GPU-accelerated. MCP server with 30 read tools.
Critical failures across all 10 tools. Every tool has empty input schemas (properties: {}) with zero parameter definitions. 8 of 10 tools lack any description text. The 2 tools with descriptions (cqs_index, cqs_wait_fresh) have minimal guidance. No output schemas documented. Tool names follow verb_noun convention (positive), but without schemas and descriptions, LLMs cannot determine parameter requirements or expected outputs. This server is non-functional for agent use.
Find callers of a function or method
Assemble smart context for a code location
Explain code with relayed documentation and signatures
Queue a reindex of the codebase (fire-and-forget)
Add a note to the codebase index
Remove a note from the codebase index
Semantic search across codebase
8 of 10 tools have no description text. LLMs cannot determine when or why to select these tools.
All 10 tools have empty input schemas (properties: {}). No parameters are defined. LLMs cannot determine what inputs each tool accepts or requires.
No output schemas documented for any tool. LLMs cannot plan downstream calls or extract required fields from responses.
Inferred effective spec: 2025-06-18+.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | F | 40 | 2025-06-18+ | v2 |
Get current index status
Generate test coverage map
Wait for index to become fresh
cqs_index has a detailed description but no parameter descriptions. The 'slot', 'overlay', 'no_overlay', and 'overlay_root' parameters lack guidance on usage, constraints, or mutual exclusivity.
No error handling guidance. Tools do not document what errors can occur, whether they are retryable, or what the LLM should do next.