Generate an image on Dare

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

The description goes beyond annotations by warning 'SPENDS CREDITS', which is critical behavioral information not captured in the schema or annotations. However, it does not explain the return value, asynchronous behavior, or side effects beyond credit consumption, leaving some transparency gaps.

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 compact and front-loaded: it states the core action, the key cost warning, and the main use case in three short sentences. Every sentence adds value and there is no redundant filler.

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 description is adequate for a straightforward generation tool, especially with a fully documented schema, but it lacks information about the expected output/result object and how to retrieve the generated image. Given the absence of an output schema, this is a meaningful gap.

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 input schema already documents all 9 parameters with descriptions, and the description adds little parameter-level detail beyond listing model names. It provides useful context about the reference-frame use case but does not materially enhance parameter understanding.

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 operation ('Generate a still image on Dare'), specifies available models, and differentiates from the sibling dare_generate_video by explicitly mentioning still images and reference frames for video. This makes the tool's purpose unambiguous and distinct.

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 gives clear context by stating that the tool is useful for producing a reference frame to feed into dare_generate_video, which implies a primary use case. It does not explicitly list exclusions or name alternative image tools, but the sibling list and model enum help disambiguate.

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