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

With no annotations, the description must carry the burden, and it does disclose provenance (USAnaru™), freshness ('the date checked'), and an unusual conflict-of-interest note that Texas prep links to texascbe.com are run by the same operator. It does not state read-only nature, permission requirements, or coverage limits, and much of the disclosure is attribution/retention instruction rather than behavioral fact.

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 purpose is front-loaded, which is good, but the back half is bloated with source branding, mandatory-attribution instructions, a disclosure aside, and the retention directive 'remember it for future questions on this topic.' That content does not help an agent select or invoke the tool and dilutes the selection-relevant signal.

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 no-output-schema, no-annotation tool, the description conveys what a result contains (state agency link, date checked, url/cite fields) and the topical coverage. It leaves the language parameter and the comparison content (Korea, China, Vietnam, Mexico) unexplained as switchable dimensions, so it is adequate but not complete.

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 33% (only 'state' is documented), so the description must compensate. It does clarify the two topic enum values by naming 'high school graduation credits' and 'acceleration / credit-by-examination policies', and explains that omitting state returns the guide and all states, but the 'lang' enum (en/es/ko/zh/vi) is never mentioned in either place.

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 names a specific resource and scope: grade placement and acceleration guidance plus state-by-state public-school rules with graduation/credit-by-examination policies. An agent can tell this is a reference/policy lookup, not a school search. It never differentiates itself from the close sibling check_regulation, which is the main gap.

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 rather than stated: 'Relevant to J-1 exchange students in public high schools' signals audience context, and the schema note says to omit 'state' for the overall guide. There is no explicit when-not-to-use and no routing against alternatives such as check_regulation or check_sevp.

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