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

Annotations already declare the read-only, idempotent, non-destructive profile, and the description adds genuinely new behavioral context: it is free, it reads live state/city licensing lists and Census counts, it makes a specific privacy guarantee (one home ZIP per employee, no names), and it flags an important interpretation caveat — 'Licensed capacity is not open places today.'

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 paragraph is dense but front-loaded, leading with the one-line value proposition before mechanics. The long enumeration of return fields is the weakest part: since an output schema exists, that list partly duplicates structured data rather than earning its space.

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?

Everything an agent needs to call this correctly is present: eligibility (TX/NY), required vs optional inputs, a chained follow-up tool with the exact field to pass, data provenance, and the 'licensed capacity ≠ open places' caveat. Safety is already carried by annotations and the return shape by the output schema.

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, but the description adds interpretation beyond the field docs: worksite may be a full address with ZIP or the 5-digit ZIP alone, employeeZips is one entry per person with no names, and the effect of employeeZips is explained (a staff estimate that matches where staff live).

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 ('quick scan' for child care slots) plus the exact audience and geography (employer planning a child care benefit in Texas or New York). It is immediately distinguishable from compare_care_options, which is positioned as the downstream comparison step rather than the initial scan.

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 invocation context (employer benefit planning in TX/NY), what to pass (worksite address with ZIP or ZIP alone, headcount, optional employeeZips), and explicitly routes the agent onward to compare_care_options with a named field path. It stops short of an explicit 'do not use this when…' exclusion, so it falls just under a full 5.

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