pinecone_query_vectors

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

No annotations are provided, so the description carries full burden. It only states 'Query... for nearest-neighbor vectors' without disclosing read-only nature, potential side effects, error conditions, or rate limits. The description adds minimal behavioral context beyond the operation name.

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?

Single sentence, no extraneous words. Directly states the tool's function. Perfectly concise for a read operation.

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, no output schema, and no annotations, a one-sentence description is insufficient. Missing details on return value, error handling, namespace behavior, and relationship to other Pinecone tools. The agent would lack critical information for correct invocation.

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 coverage is 100% with descriptions for all 8 parameters. The description does not add extra meaning beyond the schema; no parameter constraints, format details, or usage examples. Baseline score of 3 is appropriate as schema handles most semantics.

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 tool queries a Pinecone index for nearest-neighbor vectors, specifying the verb and resource. Among siblings like pinecone_upsert_vectors and pinecone_describe_index, this distinguishes the query/read operation uniquely.

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 on when to use this tool vs alternatives (e.g., when to query vs upsert). No prerequisites mentioned (e.g., the index must already exist, API key and host required). The description implies usage only through the tool name.

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