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

Beyond the readOnly/idempotent/offline annotations, the description adds meaningful operational context: charging per unique name, dedupe of identical rows, no logging of names, deterministic offline matching, snapshot warnings, and response fields such as data_confidence and sources. This materially helps an agent understand cost, privacy, and freshness behavior.

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 dense and somewhat paragraph-heavy, but nearly every sentence carries useful operational detail about subjects, returns, charging, lists, and privacy. It could be better front-loaded with a direct purpose statement, but it avoids 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?

Given the rich input schema, output schema, and annotations, the description covers the important batch-screening behavior, charging, output shape, and data-freshness warnings. The main gap is sibling routing and explicit min_score guidance, though both are partly mitigated by structured fields.

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 schema already documents subjects, lists, min_score, and default_nationality. The description reinforces subject fields and default_nationality with an example, but it omits min_score and adds little semantic detail 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 name and title clearly identify a batch screening tool for up to 500 names, and the body reinforces this with subject fields, dedupe behavior, and per-subject results. However, it never explicitly names the single-name sibling screen_name, so the boundary is implicit rather than stated.

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 description provides no when-to-use, when-not-to-use, or alternative-tool guidance. It gives an example and default_nationality behavior, but does not say when an agent should choose screen_batch over screen_name or other siblings.

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