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Filmystar

LightRAG Code Brain MCP

by Filmystar

rag_track_status

Check the status of a LightRAG indexing task by providing the track ID, enabling progress monitoring of codebase ingestion.

Instructions

Get processing status for a LightRAG track_id.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
track_idYes
Behavior2/5

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

With no annotations, the description carries full burden but only says 'get processing status'. It does not disclose behaviors like whether the operation is read-only, what happens with invalid track_ids, or any side effects.

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

Conciseness4/5

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

Single sentence that is concise and front-loaded. Every word earned its place, but could be expanded with more useful detail without losing conciseness.

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

Completeness2/5

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

For a tool with no output schema and many siblings, the description is too thin. It doesn't explain what 'processing status' means, possible return values, or error scenarios, making it incomplete for an AI agent.

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

Parameters2/5

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

Schema coverage is 0%, so description must compensate. It mentions 'LightRAG track_id' which adds minimal context, but no details on format, source, or constraints beyond the schema.

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

Purpose4/5

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

The description clearly states it gets processing status for a track_id, with a specific verb and resource. However, it does not differentiate from sibling tools like 'rag_status' or 'brain_gate_status', which might serve similar purposes.

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

Usage Guidelines2/5

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

No guidance on when to use this tool versus alternatives, no prerequisites or context provided. The description simply states the function without usage context.

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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