rag_stats_tool
Obtain statistics about a RAG vector store collection to understand its size and composition.
Instructions
Get statistics about the RAG vector store.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| collection | No | code_nodes |
Obtain statistics about a RAG vector store collection to understand its size and composition.
Get statistics about the RAG vector store.
| Name | Required | Description | Default |
|---|---|---|---|
| collection | No | code_nodes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. It only says 'Get statistics' without disclosing whether it is read-only, what side effects exist, whether the collection parameter affects the result, or what output format to expect. Minimal behavioral information is provided.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, direct sentence with no filler. It is appropriately structured and front-loaded, though brevity comes at the cost of missing critical detail.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple tool with one optional parameter, no output schema, and no annotations, the description is incomplete. It doesn't explain what statistics are returned, the significance of the collection parameter, or how this differs from similar retrieval tools. The agent would need to guess at behavior.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has one parameter (collection) with 0% schema_description_coverage. The description does not mention the collection parameter at all, failing to compensate for the absence of parameter explanations in the schema. The agent gets no semantic guidance beyond the parameter name and default.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb 'Get' and the resource 'statistics about the RAG vector store', which is a specific purpose. While it doesn't explicitly differentiate from siblings like persistent_graph_stats_tool, the RAG-specific scope provides reasonable clarity.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description gives no guidance on when to use this tool versus alternatives, no exclusions, and no contextual prerequisites. It merely states what it does without any usage direction.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/egoughnour/curate-ipsum'
If you have feedback or need assistance with the MCP directory API, please join our Discord server