pinecone_query_vectors

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

No annotations are provided, so the description must convey behavioral traits. It implies a read-only operation but doesn't explicitly state safety (non-destructive) or disclose side effects, rate limits, or what the response contains beyond 'nearest-neighbor vectors'. This is adequate but lacks depth.

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, concise sentence that immediately conveys the purpose. Every word is necessary, and there is no redundancy or fluff.

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?

With 8 parameters and no output schema, the description should provide more context about expected behavior and return values. It only mentions 'nearest-neighbor vectors', which hints at the result but doesn't specify the structure (e.g., matches with scores, metadata). It is partially complete but leaves gaps.

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?

Schema description coverage is 100%, so the baseline is 3. The description adds no extra meaning beyond the schema; it does not explain parameter relationships, defaults, or usage nuances. It is acceptable but not helpful beyond the schema.

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 'Query a Pinecone index for nearest-neighbor vectors' clearly states the verb 'query', the resource 'Pinecone index', and the specific action 'nearest-neighbor vectors'. It effectively distinguishes from sibling tools like pinecone_upsert_vectors (write) and pinecone_describe_index (metadata).

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?

No guidance is provided on when to use this tool versus alternatives such as pinecone_query_vectors or other vector search tools. There are no statements about prerequisites, context, or when not to use it, leaving the agent without decision support.

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