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@dotlab-hq/vector-store-mcp

by dotlab-hq

Update Vector Store

openai_update_vector_store
Idempotent

Update an existing OpenAI vector store by renaming it, modifying metadata, or changing its expiration policy without recreating the store.

Instructions

Modify an existing OpenAI vector store — rename it, update metadata, or change the expiration policy.

Use this when you need to update properties of an existing vector store without recreating it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
vector_store_idYesThe ID of the vector store to modify.
nameNoThe new name of the vector store.
expires_afterNoNew expiration policy for the vector store.
metadataNoUpdated set of 16 key-value pairs attached to the object.
Behavior4/5

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

Annotations already indicate idempotent and non-destructive. Description adds that it modifies properties but doesn't elaborate on specific behaviors. No contradiction; provides sufficient 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 sentences: first describes action, second provides usage guidance. No fluff, front-loaded. Every sentence adds value.

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?

Given no output schema and annotations indicating openWorldHint, description adequately covers the mutation. Could mention return type or that omitted fields remain unchanged.

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 covers all parameters with descriptions (100% coverage). Description does not add extra meaning beyond what schema provides. Baseline score of 3 is appropriate.

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?

Description clearly states 'modify an existing OpenAI vector store' and lists specific properties (rename, metadata, expiration policy). This effectively distinguishes it from sibling tools like create_vector_store or delete_vector_store.

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?

Explicitly says 'Use this when you need to update properties of an existing vector store without recreating it.' This clarifies when to use compared to create. Could be improved by mentioning when not to use (e.g., for adding files).

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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