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Filmystar

LightRAG Code Brain MCP

by Filmystar

profile_search

Search structured senior-developer project profiles and semantic RAG profiles to retrieve relevant code context and orientation.

Instructions

Search the structured senior-developer project profile and semantic RAG profile.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
limitNo
modeNohybrid
top_kNo
chunk_top_kNo
Behavior2/5

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

No annotations provided, and the description does not disclose behavioral traits such as read-only nature, permissions, or side effects. For a search tool, basic transparency is missing.

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

Conciseness3/5

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

The description is a single concise sentence, but it lacks important details. It is appropriately short but at the expense of completeness.

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

Completeness1/5

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

Given 5 parameters, no output schema, and no annotations, the description is severely incomplete. It does not explain how different modes work, what the search returns, or the meaning of top_k and chunk_top_k.

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 description coverage is 0%, and the description adds no meaning to parameters like query, limit, mode, top_k, chunk_top_k. While parameter names are somewhat self-explanatory, the description fails to explain their roles in the search.

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 the tool searches 'structured senior-developer project profile and semantic RAG profile', identifying specific resources. However, it does not differentiate from sibling tools like brain_search or rag_query_data.

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. The description lacks context for selection among sibling tools.

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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