generate_image

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

No annotations were provided, but the description fully compensates by detailing blocking times (5-60s), return format (image content block + hosted URL), cost (200-500 tokens), async handling for Fal models, and UX behavior on Claude.ai. All behavioral traits are transparently disclosed without contradiction.

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 lengthy but every sentence adds unique information. While front-loaded with purpose, it could be more organized (e.g., bullet points for aliases). However, the detail is justified given the tool's complexity and many model options.

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?

Despite no output schema, the description explains what is returned (image block + URL) and how to handle it. It covers blocking behavior, cost, model selection, and UX instructions. All essential aspects for correct agent invocation are addressed.

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?

With 100% schema description coverage, baseline is 3, but the description adds significant value: model parameter includes aliases and task-based selection criteria; prompt parameter includes composition advice; num_images and aspect_ratio have defaults and limits reinforced. This enriches the schema considerably.

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 begins with a clear verb+resource: 'Generate one or more images from a text prompt.' The tool's purpose is explicitly stated and easily distinguished from sibling tools (video, audio, avatar generators).

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?

Extensive guidance is provided: explicit use cases (pictures, photos, logos, etc.), model selection criteria by task (e.g., text-in-image, vector, photoreal), user aliases, and even what NOT to do (avoid re-embedding the image). The description leaves no ambiguity about when and how to use this tool.

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