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

Annotations already declare this a safe, idempotent, non-destructive read with openWorldHint=false, so the safety profile is covered. The description adds real behavioral context beyond that: graceful degradation when state is omitted (returns the list of served states so you can ask), and that a plain-language explanation accompanies the boolean result.

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?

Three sentences, front-loaded with the purpose, then usage timing, then parameter handling and return shape. No filler; every sentence carries decision-relevant information.

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 3-parameter read-only eligibility check with full schema coverage, annotations, and an output schema, the description covers what an agent needs: when to call it, what it returns, and how to behave when the optional state is unknown.

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 earns above baseline by explaining the optional 'state' parameter's fallback semantics ('Pass the customer's two-letter state if you know it; otherwise the result lists the states Libertas serves'), which the schema does not express.

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 verb and resource ('Checks whether Libertas Insurance... can quote and bind home, auto, or bundled insurance in the customer's state') with explicit scope. An agent can distinguish this pre-check from downstream siblings like start_quote, get_quote_options, or request_bind_inline.

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?

Gives clear triggering conditions ('a good first step when someone asks about insurance prices, switching carriers, or shopping for coverage, before collecting personal details'), which is a genuine sequencing rule. It does not name a specific alternative tool to use instead when eligibility fails, so it stops short of full when-not guidance.

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