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

The description fails to disclose key behavioral traits such as asynchronous processing (polling parameter), input requirements beyond gender (e.g., publicly accessible URLs), or that the tool generates a composite image. Annotations provide safety hints (readOnlyHint=false, etc.) but no contextual details. The gender note is the only added behavioral context, and it is parameter-focused rather than tool behavior.

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 verbose, filled with marketing language ('Step into the future', 'high-fidelity AR simulation', 'thrill of an in-store experience') that adds no operational value. The critical instruction about gender is appended awkwardly to the end after a period, creating a run-on sentence without proper separation. It is not front-loaded and fails to communicate vital information efficiently.

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?

Despite a complex schema with multiple request variants and an output schema, the description provides no information about what the task does beyond 'see how shoes look and fit.' There is no mention of how to handle file uploads, when to use file IDs versus URLs, the meaning of polling, or the expected result format. The description is entirely inadequate for guiding correct invocation of this tool.

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 description adds minimal value beyond the input schema. The only parameter mentioned is gender, asserting it must be explicitly provided and asking for clarification if missing—this is already implied by the required field and enum in the schema. With schema description coverage at 50% (polling described, request not), the description does not compensate for the missing 'request' description or explain the differences between file URLs and file IDs.

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 identifies the tool as an AR/AI shoes virtual try-on, specifying the resource (shoes) and the action (see how styles look and fit). This naturally differentiates it from sibling tools for other products like bags, clothes, and hats. However, the purpose is embedded in promotional language rather than a crisp, technical statement, slightly reducing clarity.

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?

No explicit guidance on when to use this tool versus alternatives is provided. The only usage-related instruction is the appended note about gender being explicitly required and asking for clarification if missing, which addresses parameter handling rather than tool selection. The openWorldHint annotation is not leveraged in the description.

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