Skip to main content
Glama
Filmystar

LightRAG Code Brain MCP

by Filmystar

profile_upsert

Create or update senior developer knowledge items in a project profile and index them into LightRAG for retrieval.

Instructions

Create or update one senior-developer knowledge item in the project profile and index it into LightRAG.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sectionYes
titleYes
summaryYes
detailsNo
repo_idNorepo1
filesNo
tagsNo
Behavior2/5

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

No annotations are provided, so the description carries full burden. It mentions mutation and indexing but omits details like overwrite behavior, permissions, rate limits, or side effects. For a mutating tool, this is insufficient.

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 sentence, which is concise but lacks structure. It is front-loaded with the verb, but the brevity sacrifices important details.

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 the tool has 7 parameters, 3 required, no output schema, and no annotations, the one-sentence description is severely incomplete. It does not explain parameter roles, return values, or behavioral nuances.

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

Parameters1/5

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

Schema description coverage is 0%, yet the description provides no explanation of any parameters. The seven parameters (including required ones) are left entirely undocumented, forcing the agent to rely solely on 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 the verb (create/update), resource (knowledge item in project profile), and additional action (index into LightRAG). It distinguishes from sibling tools like profile_get and profile_search which are read-only, but does not explicitly differentiate from brain_remember, which might have similar purpose.

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 such as profile_bootstrap, profile_get, or brain_remember. The description lacks context for decision-making.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Filmystar/lightrag-code-brain-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server