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

Annotations already declare read-only, idempotent, open-world safety, so the bar is low — yet the description adds real operational context: the data provenance (USDA APHIS eFile Public Search Tool), the fact that most rows are cancelled historical licences and upstream neither filters nor sorts by status, and the cross-parameter restriction on status+page. That is far more than the annotations convey.

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?

It is dense but front-loaded — purpose first, then example queries, then return fields, then the critical status caveat last. Every sentence carries information, though the example-query list and return-field enumeration make it longer than strictly necessary.

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 11 optional parameters and no output schema, the description compensates by naming exactly what comes back (name, certificate number, class, status, city/county/ZIP) and by flagging the status default trap. Nothing an agent needs to call this correctly is missing.

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 schema already documents every parameter in detail. The description adds value by mapping natural-language intents to specific parameter combinations (state+license_type for the breeder question, certificate_number for a lookup) and reinforcing the class-label semantics, though it largely restates schema content.

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 states a specific verb and resource — finding AWA licence/registration holders — and enumerates the covered classes (A/B/C, carriers, handlers, research facilities), which separates it from the inspection-oriented siblings. An agent can tell at a glance this is a licensee registry lookup, not an inspection query.

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 concrete triggering questions ("USDA licensed dog breeders in Missouri", "is this kennel USDA licensed") and an explicit rule for which filter to apply when ('use status:"active" for any "who is licensed" question'). It also states a negative constraint (active cannot be combined with page), so the agent knows both when and how not to call it.

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