generate_image

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions the API but fails to describe key behavioral traits like rate limits, authentication needs, response format, or potential side effects (e.g., cost implications). This leaves significant gaps for an AI agent to understand how to interact with the tool effectively.

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 a single, efficient sentence that directly states the tool's function and API. It is front-loaded with the core action and avoids unnecessary details. However, it could be slightly more informative without sacrificing brevity, such as hinting at common use cases.

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 complexity of an image generation tool with 5 parameters and no output schema, the description is insufficient. It lacks information on what the tool returns (e.g., image URLs, metadata), error handling, or operational constraints. Without annotations or output schema, the description should provide more context to ensure the agent can use the tool correctly.

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 description does not add any meaning beyond the input schema, which has 100% coverage with detailed descriptions for all parameters. Parameters like 'prompt', 'image_size', and others are well-documented in the schema, so the description's lack of param info is acceptable. The baseline score of 3 reflects adequate schema coverage without extra value from the description.

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 ('Generate images') and specifies the resource/API ('fal.ai GPT image-1 text-to-image API'), making the purpose evident. It lacks differentiation from siblings, but since there are no sibling tools, this is not a drawback. The description is specific enough to understand what the tool does without being tautological.

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, such as typical use cases, prerequisites, or alternatives. It simply states what the tool does without context for its application. Since there are no sibling tools, the lack of differentiation is not an issue, but overall usage guidance is missing.

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