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

Even though annotations already state readOnlyHint=true, the description adds behavioral specifics that annotations do not cover: asynchronous execution (1-2 minutes), the requirement for authenticated users, the return of a processing handle, the need to call a status endpoint, and a direct user-communication instruction ('Tell the user it is running'). This is rich, non-redundant transparency.

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 front-loaded with the purpose and return values, then covers async behavior and usage. It is a bit dense—three tightly packed sentences with em-dashes—but every clause provides needed information. The 'Tell the user it is running.' sentence is abrupt but functional. Slightly awkward structure prevents 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?

Given there is no output schema, the description does a good job explaining the return content categories (refusal categories, context, cited marks, coexistence support) and the asynchronous workflow. It could mention error conditions or what to do if the handle is invalid, but for a complex tool with no output schema, this is largely complete and actionable.

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?

The schema covers 100% of the single parameter (serial_number) with a clear description ('USPTO serial number of the trademark with the Office Action'). The tool description does not add further parameter-level context, so the baseline of 3 applies; the schema already does the heavy lifting.

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 clear verb+resource: 'Research the Office Action for a trademark' and enumerates specific outputs (refusal categories, OA/response context, cited marks, third-party registrations) that distinguish it from generic search tools. It also explicitly positions the tool relative to a sibling-like action ('Use this before draft_oa_response'), removing ambiguity about its role.

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 explicit usage timing ('Use this before draft_oa_response for preliminary research') and instructs the agent on the follow-up step (call get_office_action_research_status). It does not list when *not* to use it versus alternatives like get_latest_office_action, but the clear context and asynchronous guidance are strong enough to score above average.

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