generate_bracelet_model_wearing

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

No annotations are present, so the description carries the full burden. It adds a meaningful behavioral trait—'Maintains accurate bead count and structure from references'—which tells the agent the output will preserve bracelet fidelity. However, it does not disclose output format, potential variation or limitations, or any side effects; it says 'generate' so the action is clear but there is no detail on what the response contains. This is more than a bare restatement but less than a full behavioral profile.

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?

Three sentences, each with a distinct role: action, purpose, and fidelity guarantee. The core action is front-loaded, and there is no redundant wording; the phrase 'authentic luxury brand lifestyle photography' adds context rather than padding. Slightly promotional tone prevents a 5, but it remains tight.

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 is moderately simple with two parameters, but there are no annotations and no output schema, so the description must cover the call contract. It covers what will be generated and the fidelity promise, while the schema supplies defaults and requirements. It omits any explicit statement of output/return type (beyond 'photo') and does not mention the required reference_image_urls, though the schema fills that gap. Adequate but not comprehensive.

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%: both reference_image_urls and aspect_ratio are described with types, enums, and defaults. The tool description adds no parameter-specific detail beyond noting that references are used to maintain accuracy, which is already implied by the parameter name. Baseline 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 opening sentence specifies a clear verb-resource pair: generate a 'realistic wrist close-up photo showing bracelet worn on model's wrist.' The 'model's wrist' detail sets it apart from siblings such as generate_bracelet_white_background and generate_bracelet_tabletop_elegant, and the product type distinguishes it from generate_necklace_model_wearing. Additional context about luxury lifestyle photography reinforces the intended output without muddying the core purpose.

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 conveys when this tool is useful: when the goal is to show the bracelet worn on a model's wrist as lifestyle photography that lets customers visualize the product. This is a clear context, though no explicit exclusions or alternative tool names are cited—the agent must infer the boundary against white-background and tabletop siblings. Thus it sits between implied and explicit guidance.

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