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

No annotations are provided, so the description carries the burden. It states the tool is read-only (FCC public-domain records) and mentions cost per row. However, it does not disclose other behaviors like idempotency, rate limits, or whether it modifies data. The description is adequate but could add more safety context.

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 description is two sentences long, with the purpose front-loaded. Every word adds value: it states the function, filter categories, returns, and cost. No wasted text.

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 complex tool with 15 parameters and no output schema, the description covers the main filter groups and return fields. It explains the pricing and data source. However, it omits pagination details and behavior for unspecified parameters, but the schema partially fills that gap.

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 description adds value beyond the schema by explaining what each parameter filters (e.g., 'granted_since surfaces new license grants') and summarizing the return data. This helps the agent understand how parameters relate to the output.

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 clearly states the tool searches FCC ULS license transactions and specifies what it returns (license, entity-resolved licensee, radio service, status, dates). It uses specific verbs and resources, distinguishing it from siblings that focus on other government datasets.

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?

The description lists many filter parameters but does not explicitly state when to use this tool versus alternatives or when not to use it. Among siblings, no other tool searches FCC licenses, so it is implicitly the tool for that purpose, but guidance on exclusion is missing.

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