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

Beyond the read-only/idempotent annotations, the description discloses that names are never logged, matching is deterministic with no AI, it runs offline against a bundled snapshot, and free. It also explains warning behavior for stale list snapshots and names the supported lists.

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 but front-loads the core behavior (normalization and score components) before returning output details, lists, and privacy notes. It earns its length given the tool's complexity, though the single-paragraph format could be slightly more scannable.

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?

Even though an output schema exists, the description adds useful completeness: it names the score components, lists supported sanctions lists, mentions data_confidence and warnings, and discloses deterministic/offline behavior. That is more than enough for an agent to invoke 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%, so the baseline is 3. The description improves on that with a concrete cross-script example (Latin 'Abd al-Rahman Al Shaikh' vs Arabic 'عبدالرحمن الشيخ') that clarifies accepted input forms and normalization expectations.

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 uses a clear verb-and-resource framing: it normalises both names step by step and returns every score component plus the resulting score. It is specific about the mechanics and output, but does not explicitly differentiate itself from siblings such as screen_name or screen_batch.

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?

Usage is implied by 'explain' and the detailed score-component list, suggesting this is for understanding a match rather than bulk screening. However, there is no explicit when-to-use/when-not guidance and no named alternative such as screen_name for plain scoring.

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