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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds real value beyond that by enumerating what each row contains (the duty components and the instrument behind each rate), which matters because there is no output schema. It does not address auth or rate limits, so not a 5.

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?

Two sentences, no filler: the first front-loads what the dataset contains and its coverage, the second covers filtering. Dense but every clause carries information; the parenthetical equipment list is long yet useful for matching queries.

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 no output schema, the description compensates by naming the returned rate columns and the originating instrument, and the dataset is bounded at 22 lines so pagination details are unnecessary. What is missing is whether multiple origin rows are returned per HTS line or how partial matches behave.

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% and each parameter already has an example, so the schema does the heavy lifting. The closing sentence echoes the three filter dimensions (HTS prefix, origin, description word) but adds no new syntax or format detail beyond the schema, which is the baseline-3 case.

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 (US import tariff rates) and pins the exact scope: 22 HTS lines for factory/datacenter equipment (transformers, switchgear, gensets, chillers, machine tools, robots) with MFN, Section 232, Section 301 and total ad valorem rates. That level of specificity clearly separates it from the other get_* dataset tools like get_price_bands or get_lead_times.

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 implies when the tool applies (US import tariff questions for this equipment class) and tells the agent how to narrow results via HTS prefix, origin, or description word. It never states when NOT to use it or names an alternative tool, so guidance is implied rather than explicit.

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