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

Annotations already declare readOnly, idempotent, non-destructive and closed-world, so the safety bar is low. The description adds substantial behavior beyond that: exact normalization rules for people and businesses, the ranked-result fields, a no-match outcome at the threshold, the list's as-of date, and how filters drop and count records. It stops short of describing pagination or failure modes, keeping it at a 4.

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 definition leads with the action and the data source, then matching rules, then return fields, then filters — a sensible front-loaded order with no filler. The single long matching-rules sentence and the enumerated return fields are dense but each carries real information for the caller.

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 eight parameters, no output schema and no nested objects, the description carries the return-value burden itself and does so: it enumerates what a hit contains, describes the no-match case, and reports the as-of date. Combined with 100% schema coverage on inputs, an agent has enough to call and interpret it correctly.

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 per-parameter descriptions are already detailed, so the baseline is 3. The description only adds a collective rationale — that state, NPI and date-of-birth filters exist to narrow common names — without adding syntax or semantics 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 names a specific verb and resource — screening one person or business name against the HHS-OIG LEIE — and spells out what the list is. The phrase 'Screens one ... name' implicitly scopes it to single-name lookups as opposed to the batch-sounding sibling screen_exclusions, so an agent can place it without opening the schema.

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 screening context is clear and the closing sentence explains that state/NPI/DOB filters are for narrowing common names, which is genuine usage guidance. However, it never says when to prefer a sibling (e.g., screen_exclusions for batches or check_npi for pure NPI lookups) or when the tool is not appropriate.

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