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Filmystar

LightRAG Code Brain MCP

by Filmystar

rag_status

Check LightRAG health, view active models, and monitor document pipeline state to ensure the coding agent's memory layer is operational.

Instructions

Check LightRAG health, active models, and document pipeline state.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description must disclose behavior. It clearly states the tool is for checking health, active models, and pipeline state, implying a read-only operation. No side effects are mentioned, but the description is sufficient for a simple status check.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single concise sentence that immediately conveys the purpose. No unnecessary words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has no parameters, no output schema, and is a straightforward read-only health check, the description provides all necessary context for an agent to understand and invoke it correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters, so the description cannot add parameter meaning. With 100% schema coverage, the baseline is 4, and no further information is needed.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool checks LightRAG health, active models, and document pipeline state. It uses a specific verb (check) and resource (LightRAG), distinguishing it from sibling tools like rag_track_status which may focus on tracking over time.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for checking current status but does not explicitly state when to use this tool versus alternatives like rag_track_status or when not to use it. Guidance is minimal.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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