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

Annotations already declare readOnly, idempotent, open-world, non-destructive, so the safety profile is covered. The description adds real value by disclosing the return payload: code, description, general rate, and a Section 301 China summary. It omits pagination/limit behavior and result-count handling.

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 tight sentences, front-loaded with what the tool does and the accepted input forms, then the return contents. No filler and every clause earns its place.

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 usefully enumerates the return fields, covering the main completeness need. It stops short of documenting the limit parameter and pagination/capping behavior, which an agent may need for larger keyword searches.

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 0%, so the description must carry the load. It explains what 'q' accepts (product words or code prefix), which meaningfully compensates for the undocumented schema property. The 'limit' parameter (1-25, default 10) is never explained, leaving a gap in an otherwise helpful clarification.

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+resource ('Find US HTS codes') and clarifies the two accepted input modes: product words or a code prefix. Concrete examples ('air fryer', 'wooden toys') make the intent unambiguous. It does not, however, distinguish itself from the sibling lookup_hts_code, which also deals with codes.

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 the input modes described (keyword search vs. code prefix), but there is no explicit when-to-use guidance or routing away from lookup_hts_code, which is the obvious alternative for exact code lookups. The agent must infer the split.

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