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

No annotations are provided, so the description carries the full behavioral burden. It helpfully discloses return semantics (composite 0-100, higher = more friction, component breakdown and 30-day history for single-country detail), but it omits operational context such as data refresh, permissions, or error behavior. It also references an 'Optional country parameter' that does not exist in the input schema, introducing an inconsistency.

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 front-loaded with the core purpose and output meaning, then adds coverage and audience context. It is reasonably sized and mostly earns its space, though the final sentence about intended users is somewhat generic and could be trimmed without much loss.

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 tool with no output schema and no annotations, the description does a fair job explaining the returned score, its scale, components, and single-country detail. However, it does not clarify default behavior when no country is provided, does not mention data freshness, and contains the schema-mismatched 'optional country parameter,' leaving an agent with meaningful gaps.

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?

The input schema has 0 parameters, which normally yields a baseline of 4. However, the description claims an optional country parameter that is absent from the schema, creating misleading parameter semantics. This inconsistency lowers the score from the zero-parameter baseline.

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 states a specific verb and resource: 'Get customs friction baseline scores by country,' and explains the output is a composite 0-100 score combining port congestion and customs/trade policy events. This clearly distinguishes the tool conceptually from event-oriented siblings like get_customs_trade_events, but it does not name or reference any sibling tool explicitly.

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 only usage guidance is a list of intended audiences ('trade compliance teams, procurement managers, and logistics planners') and a general goal ('assess customs clearance risk by country'). There is no explicit when-to-use vs alternatives guidance, no exclusions, and no mention of related sibling tools such as get_customs_trade_events or get_border_delays.

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