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

With no annotations, the description must carry behavioral disclosure. It states ordering (newest first), source (Federal Register API), and that the response explicitly notes the out-of-scope items. However, it does not explicitly state that the tool is read-only or describe any potential side effects, authentication, or rate limits, though for a retrieval API these are arguably implicit.

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 three sentences with no redundancy. The first sentence establishes purpose and output, the second gives a usage hint, and the third sets scope boundaries. It is front-loaded and each sentence earns its place, though it could be trimmed slightly without losing clarity.

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?

The description covers purpose, scope, output format, and a usage pattern. It lacks explicit mention of pagination or error behavior, but the 'limit' parameter is documented in the schema, and the tool is a simple read-only API call. The exclusion of case-specific items is clearly stated, making the tool sufficiently complete for an agent.

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 adds meaningful context for the 'since' parameter by framing it as a changelog poll, which goes beyond the schema's dry 'Only documents published on or after this date'. No extra insight is provided for 'limit' or 'matched_in', so the description adds only marginal value overall.

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 clearly identifies the tool as a query for changes in general US import rules from the official Federal Register API, listing specific document types (presidential tariff actions, CBP/DHS rules, USTR notices) and output fields (publication date, document number, link). It explicitly excludes case-specific items, distinguishing it from siblings like classification_rulings or section_301_ladder.

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 gives a clear when-to-use pattern ('Use since to get only what is new to you, the same way you would poll a changelog') and an explicit when-not-to-use ('Case-specific antidumping, ITC and Foreign-Trade Zone paperwork is out of scope by design'). It stops short of naming specific sibling tools as alternatives, but the exclusion is precise enough for an agent to route correctly.

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