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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=false, so safety and determinism are covered. The description adds one piece of real context — the data is reported 'as its service reports it', implying an authoritative upstream source rather than a locally cached copy. It says nothing about freshness, refresh cadence, or what happens if the school is not found.

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, front-loaded with the payload, and no filler about return formats. But the first sentence is an awkward run-on noun phrase ('...as its service reports it, its DMV license details and public contact information') that takes effort to parse, and the disambiguation sentence is phrased obliquely rather than as a direct routing rule.

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?

This is a low-complexity read tool: one optional parameter, no nested objects, and an output schema that already documents return values. The description covers what is returned and what it is not, which is most of what an agent needs before calling. Missing only edge-case behavior such as no-match handling or data staleness.

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 the single 'language' parameter is already documented as accepting only 'en' with a default. The description adds no meaning about the language parameter or its constraints, so the schema does all the work; baseline 3 applies.

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 names the resource and its contents concretely: enrollment and completion-reporting availability, DMV license details, and public contact information for California Licensing Education. It also distinguishes itself from adjacent statuses (a payment processor's status, a court's receipt). It falls short of a clean verb+resource statement because the whole thing is one long noun phrase, but an agent can still tell what it retrieves.

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 second sentence provides a when-not signal by excluding payment-processor status and court completion receipts, which is genuinely useful routing guidance. However, it never names or points to the sibling tools (e.g. find_court_information, get_eligibility_checklist) that would handle those excluded cases, so the agent must infer the alternative.

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