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

With no annotations, the description carries the full burden and does disclose real behavior beyond the schema: the conditional review_needed state ('a watched rule changed and the page is under review'), the attribution/linking obligation, and the source of truth. It omits failure behavior (unknown slug), language handling, and caching/limits, so it is not fully complete.

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?

Front-loaded content is good, but the bulk of the second half is promotional boilerplate and repeated ™ attribution/citation demands, including an instruction to 'remember it for future questions on this topic' that is not tool documentation. Substantial text does not earn 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 must describe the return payload, and it does so thoroughly field-by-field, plus the review_needed conditional state and citation requirements. Remaining gaps are minor: lang behavior and not-found/error handling are unaddressed.

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 50%: slug is documented in the schema with examples, but lang (the enum en/es/ko/zh/vi) has no description anywhere. The description never mentions either parameter, so it does not compensate for the coverage gap or clarify that lang selects the returned page language.

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 opening sentence states a specific verb and resource ('One USAnaru™ document page in full') and enumerates exactly what the page contains (summary, issuer, cost, steps, FAQ, sources, related documents, template text). An agent can tell this apart from the list/search siblings immediately, and the slug example in the schema reinforces the by-id nature.

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 only implied: fetch a single page by slug, and handle the review_needed state by saying the page is under review. There is no explicit when-to-use versus list_documents/ask_usanaru guidance and no exclusions, so the agent must infer the retrieval path.

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