virtual_try_on

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

No annotations are provided, so the description carries full burden. It mentions cost (~6 credits) and states the output is a 'realistic image', but does not disclose behavioral traits like request limits, input constraints, or potential failure modes. Given the lack of annotations, the description should provide more operational 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 very concise: 4 short sentences, each adding value. It front-loads the purpose and quickly explains the process. No unnecessary words or repetition.

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 the tool's moderate complexity (AI image generation), the description covers the main inputs and output (realistic image). It mentions cost but lacks details on image resolution, style constraints, error handling, or result format. The presence of an output schema partially compensates, but overall completeness is adequate not excellent.

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?

Input schema has 100% description coverage, so baseline is 3. The description largely restates the schema (e.g., 'upload a photo' for image_url, 'describe the clothing' for prompt) without adding new meaning or constraints beyond what the schema already provides.

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's purpose: virtual clothing try-on using AI. It specifies the action (upload photo, describe clothing, generate image) and explicitly distinguishes from siblings like 'generate_image' or 'swap_face' by focusing on clothing try-on.

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 provides a use case ('Perfect for e-commerce and fashion'), but lacks explicit when-not-to-use or alternatives. For a server with many image-generation siblings, more guidance on when to choose virtual_try_on over, say, 'generate_image' or 'swap_face' would be beneficial.

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