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

Annotations already cover the safety profile (readOnlyHint, openWorldHint=false), and the description adds genuinely new behavioral context: results are single-state, and every fact is accompanied by an official source and a checked-on date, which tells the agent how to cite and how fresh the data is. It does not state what happens for an unsupported state code or whether the response can be empty, which is the remaining gap.

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 trigger condition and examples are front-loaded before the content inventory, so an agent can decide quickly. Sentences are dense but each carries useful information; the trailing provenance sentence could arguably fold into the content list, which keeps it from a 5.

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 correctly carries the burden of describing returns by enumerating the response fields, and the annotations cover safety. What is missing is edge-case behavior (invalid or non-covered state codes, data unavailability), which matters for a one-parameter lookup tool but is a minor omission overall.

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% and the single 'state' parameter is fully documented in the schema with the two-letter format and an example. The description reinforces that the scope is one state but adds no new syntax or validation meaning beyond what the schema already supplies, so 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 a specific verb+resource ('Unemployment insurance basics for one U.S. state') and then enumerates exactly what comes back: agency and filing location, min/max weekly benefit, max weeks, waiting week, severance and pay-in-lieu-of-notice treatment, and the work-search rule. This is far more specific than the name alone and clearly separates it from generic job-search or resume siblings.

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?

It gives an explicit trigger ('Call this when someone asks about unemployment benefits after a layoff or job loss') plus two concrete example utterances, which is strong when-to-use guidance. It stops short of naming the closest sibling (laid_off_benefits_and_programs) or saying when this tool is NOT the right choice, so it lands just below the top band.

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