Skip to main content
Glama

rag_upload

Upload a document to the RAG knowledge base for indexing, enabling retrieval-augmented generation queries.

Instructions

Upload a document to the RAG knowledge base for indexing.

Args: filename: The filename (e.g. "meeting-notes.md") content: The document content (text)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
filenameYes
contentYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description carries the full burden of disclosing behavioral traits. It only states the tool uploads for indexing but omits critical details like file size limits, format restrictions, whether documents can be overwritten, or any idempotency guarantees.

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 extremely concise with exactly one line for the purpose and a brief parameter list. No unnecessary words or repetition.

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?

Given the tool's simplicity and the presence of an output schema (though not described), the description is incomplete. It lacks details about return values, error conditions, supported file types, or any post-upload behavior. For a tool with no annotations, this is insufficient.

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?

With 0% schema description coverage, the description compensates by naming and illustrating both parameters ('filename' with an example, 'content' as text). This adds meaning beyond the schema's basic type information.

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 action ('Upload'), the resource ('document to the RAG knowledge base'), and the purpose ('for indexing'). It distinguishes itself from the sibling tool 'rag_query' which searches rather than uploads.

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 does not explicitly state when to use this tool versus alternatives like 'rag_query'. It implies usage for adding documents to the knowledge base but lacks explicit context about prerequisites or when not to use it.

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/RPasquale/lightbulb-mcp'

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