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

Annotation Contradiction: the annotations mark readOnlyHint as true, implying no persistent side effects, but the description says 'the request is still registered and a quote_id returned', which implies the server stores a new quote request. This is a write-like behavior, and idempotentHint=false further suggests repeated calls could create new registrations. The contradiction forces the lowest score.

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?

Four sentences, each earning its place: the core action, the PII boundary, the unlicensed fallback, and the missing-facts behavior. Key information is front-loaded and there is no filler or repetition.

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?

Given 10 parameters, no output schema, and only one described property, the description covers the main return behavior (prices when licensed, quote_id when not) and the server asking for missing facts. However, it omits the exact response shape, optional field semantics, and any rate-limit or licensing detail an agent might need in edge cases.

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?

With schema description coverage at only 20% (only state is described), the description carries most of the parameter burden. It usefully clarifies that no PII is needed and all inputs are rating facts, but it does not explain the optional rating fields, their formats, or when they are required beyond the required list.

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 action ('Return indicative auto insurance prices') and a resource ('from multiple carriers'), with a clear qualifier about licensing. The purpose is immediately distinguishable from the sibling tools, which are about eligibility, market data, or agent contact.

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?

Provides clear context on when to use this tool: when only rating facts are available and no PII like name, email, or SSN should be collected. It also explains the fallback behavior for unlicensed scenarios, but it does not explicitly name sibling tools or state when an alternative should be used instead.

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