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

The description goes well beyond the readOnlyHint and idempotentHint annotations by disclosing that the query performs no inference or aggregation, is limited to the available snapshot, returns an empty data array on no matches, and raises argument errors for missing or invalid input. These are concrete behavioral traits an agent needs before calling.

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 compact and front-loaded: purpose first, then return shape, then behavioral caveats, then errors. Every sentence contributes useful information, and there is no redundant or filler content.

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?

Even without an output schema, the description provides the important return characteristics: paginated structured records, specific fields, empty behavior, snapshot limitation, and error behavior. Combined with the comprehensive input schema, an agent has everything needed to invoke the tool correctly.

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 description coverage is 100%, so the schema already documents all four parameters thoroughly. The description adds no parameter-level detail beyond stating that company is required cancels; it does not improve on the schema's literal-match, pagination, and snapshot semantics.

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 opens with a specific verb and resource: 'Find recorded medical-device products associated with a company or registrant name.' This clearly states what the tool returns and the key lookup dimension, making it easy for an agent to distinguish it from device-specific or category-based search 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?

The description gives clear context for when to use this tool: when querying by company/registrant name and when only recorded snapshot facts are needed. It explicitly excludes inference and aggregation behavior, which helps an agent choose this over more analytical alternatives, though it does not name specific sibling tools or provide explicit when-not-to-use conditions.

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