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

Annotations already indicate a mutation (readOnlyHint=false) and open-world generation (openWorldHint=true). The description adds valuable behavioral context: the cost per image ($0.10) and the asynchronous pattern (returns generation_id, poll get_generation). These are critical operational details not covered by annotations. It does not contradict annotations and provides useful non-obvious 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 exceptionally concise: two sentences with zero fluff. It front-loads the core purpose, then immediately states the cost and the asynchronous workflow. Every sentence earns its place, and the structure makes it easy to scan.

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 complexity (3 parameters, no output schema), the description explains the key operational flow (async polling) and the cost. It does not describe error handling, image constraints beyond the schema, or the expected output format, but these are either covered by the schema or not critical for a basic call. The async return mechanism is clearly explained, which is essential. A 4 is appropriate because it covers the main gaps but omits some edge-case context.

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 description coverage is 100%, with each parameter (image, style, color) fully documented in the schema. The description adds no additional parameter-level meaning, such as how style interacts with the generation or format constraints on the image URL. Since the schema already covers the parameters, 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 clearly states the action ('Try on dresses') and the resource (the user's image). It is specific enough to distinguish from generic image editors, but it does not explicitly differentiate from sibling tools like ai_clothes_changer or ai_outfit_changer, which likely have overlapping purposes. The verb and resource are clear, but the lack of explicit sibling differentiation prevents a 5.

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 no guidance on when to use this tool versus alternatives. It does not mention that this is specifically for dresses, nor does it reference any sibling tools. An agent must infer from the name and schema alone, which is insufficient for selecting among the many similar AI alteration tools.

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