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

Adds substantial context beyond the annotations: per-name pricing (0.0012 USDC), total cost, the API-key credit alternative, and the free-first-5-calls-per-day tier. The only omission is overflow behavior when more than 25 names are supplied (error vs. truncation), which matters for a paid batch call.

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?

Three sentences, front-loaded with the use case before cost details, and no filler. The pricing appears twice (per-name rate and total), which is mildly redundant but internally consistent and useful for cost estimation.

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, idempotent, single-parameter batch tool with full schema coverage and no output schema, the description covers purpose, cost, and returned fields adequately. The main remaining gap is what happens at the 25-name boundary and whether partial results are returned for failed names.

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% and the separator format (';') is documented in the schema itself. The description contributes the one thing the schema omits: the hard cap of 25 names per call, which directly constrains how the parameter must be built.

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 ('screen ... names for politically exposed persons') with an explicit batch scope ('up to 25 names in one call'), which implicitly distinguishes it from the single-name sibling pep_screen. It also previews the returned data ('top 3 possible matches per name with positions and status'), so an agent knows both what it does and what it yields.

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?

Gives a clear when-to-use trigger ('screening a list of up to 25 names', 'customer-base and CRM re-screening'). It stops short of naming the alternative for single-name or larger-list cases (pep_screen, chunking), so the exclusionary half of the guidance is missing.

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