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@dotlab-hq/vector-store-mcp

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Retrieve Vector Store

openai_retrieve_vector_store
Read-onlyIdempotent

Retrieve details of an OpenAI vector store by its ID to check status, file counts, and metadata.

Instructions

Retrieve details of a specific OpenAI vector store by its ID.

Use this to check the status, file counts, metadata, and other properties of an existing vector store.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
vector_store_idYesThe ID of the vector store to retrieve.
Behavior3/5

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

Annotations already declare readOnly, non-destructive, idempotent traits. Description adds that it retrieves details but no additional behavioral context beyond annotations.

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?

Two concise sentences: first states purpose, second provides usage context. No redundancy or wasted words.

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

Completeness4/5

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

For a simple retrieval with good annotations and one parameter, the description covers the essential purpose and usage. It could mention return type but is sufficient.

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

Parameters3/5

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

Schema coverage is 100% and the parameter 'vector_store_id' is well-described in the schema. The description does not add semantic meaning beyond stating retrieval by ID.

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 verb 'retrieve' and the resource 'vector store', and specifies it is by ID, distinguishing it from listing and other retrieve tools.

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

Usage Guidelines4/5

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

The description advises using this to check status, file counts, metadata, and properties, providing clear context. It does not explicitly exclude alternatives, but the single filter by ID is implied.

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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