pinecone_sample_metadata

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

With no annotations, the description carries the behavioral burden, and it does disclose meaningful output traits: per-field types, carry counts, and up to three example values, plus the bounded nature of the result. It stops short of saying whether the sample is random or what sampling costs, but the core behavior is well conveyed.

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?

Front-loaded with the verb and scope, then a compact clause explaining the return shape. No wasted sentences, though the prose is slightly more expansive than strictly needed given an output schema exists.

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 read-only sampling tool with an output schema and no annotations, the essentials are present: what is sampled, what comes back, and why it is bounded. Missing only operational caveats such as sampling randomness or any performance/scope limits.

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 0%, so the description should compensate for all three parameters, but it only alludes to 'namespace' and the act of sampling. It never explains index, namespace (scope vs. selection), or sample_size's effect on cost and result fidelity.

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?

States a specific verb and resource: sample records from a namespace and describe the metadata shape. This clearly differentiates it from siblings like pinecone_fetch_records and pinecone_list_record_ids, which retrieve data rather than describe its shape.

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 phrase 'enough to write a correct filter without dumping the namespace into the conversation' gives a clear use context: learn the metadata schema cheaply before filtering. It does not, however, name an explicit alternative or state when not to use it (e.g. versus describe_namespace).

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