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

The description adds the gender requirement and the 'ask if missing' behavior, which is useful. However, it also claims 'visualize products instantly through camera', which could mislead since the tool actually accepts image URLs or file IDs, not a live camera feed. It also does not disclose the async/polling behavior or what the output image represents, so transparency is limited.

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 opens with unnecessary marketing fluff ('AR makes luxury bag shopping a tangible experience!...') and contains a typo ('through camera.gender must be...'). The key usage instruction is buried at the end, so the description is not front-loaded and contains wasted words.

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?

The tool has a complex request schema with multiple oneOf combinations of URL/file IDs, plus a polling parameter. The description does not explain these variants, the meaning of src_file_url vs ref_file_url, or the polling behavior. It only addresses gender handling. Given the complexity, the description is incomplete for an agent to use the tool effectively.

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 already documents each parameter, but the description adds a critical rule not present in the schema: 'gender must be explicitly provided by the user. If missing, ask the user for clarification and set the parameter once received.' This provides actionable meaning beyond the schema's simple 'Gender of the person in the image.'

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 mentions 'handbags' and 'visualize products', which suggests a virtual try-on for bags, but it is phrased as marketing ('AR makes luxury bag shopping a tangible experience') rather than a clear functional statement. It does not explicitly state that the tool takes a user photo and a bag image to produce a composite, leaving the exact operation vague.

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 only usage guidance is the instruction that 'gender must be explicitly provided by the user. If missing, ask the user for clarification and set the parameter once received.' This is a parameter-level workflow hint but there is no guidance on when to use this tool versus sibling try-on tools, nor any exclusions or prerequisites for tool selection.

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