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

Beyond the annotations (readOnlyHint=false, openWorldHint=true), the description adds material execution context: it launches asynchronously for authenticated users, typically takes 1-2 minutes, and returns a processing handle. This is genuinely useful behavioral disclosure not present in structured fields.

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 with no filler. The first sentence front-loads the core purpose and outputs; the second adds essential async behavior. Every sentence earns its place.

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 one-parameter tool, the description covers purpose, return content categories, and execution model well. The only minor gap is that it does not explain how the returned processing handle should be consumed to retrieve the final result, but this does not prevent a correct initial call.

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 single parameter serial_number is fully described in the schema. The description does not add further parameter-level semantics, so the baseline of 3 applies.

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 names a specific action ('Research the Office Action') and a concrete resource (a trademark), then enumerates the return categories: refusal categories, OA/response context, cited marks, and third-party registrations. This clearly differentiates it from siblings like get_latest_office_action, which implies a simpler retrieval.

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 implies usage for deep Office Action analysis and notes that authenticated users get asynchronous execution, but it does not explicitly name alternatives or state when to choose this over get_latest_office_action or analyze_prosecution_history. The agent must infer routing from the listed outputs.

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