generate_image

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

With no annotations provided, the description carries full burden. It discloses the use of DashScope, local caching, path return, and fallback to a default image, providing decent behavioral context. However, it omits error handling, exact return format, and authentication details beyond API key.

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 concise: two sentences for behavior and a clear args section. Every sentence adds value, and it is front-loaded with the core action.

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 output schema exists (though not shown), the description covers parameters, caching, and fallback. It lacks error handling or rate limits but is largely complete for a straightforward image generation tool.

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 0%, so the description fully compensates. It explains 'prompt' supports mixed Chinese/English, and 'size' provides format, example, and default. This adds significant meaning beyond the bare schema.

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 tool generates images from text prompts via Alibaba Cloud DashScope, caches locally, and returns a path. It differentiates from the sibling 'generate_image_prompt' by focusing on image generation rather than prompt creation.

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 mentions fallback behavior when API key is missing, implying a condition for use, but does not explicitly compare to alternative tools or state when to prefer this over siblings like 'generate_image_prompt'.

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