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generate_image

Create images from text prompts using OpenAI-compatible APIs and save them to local files for visual content generation.

Instructions

Generate one or more images from a prompt with an OpenAI-compatible image endpoint and save them to local files.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
promptYes
output_dirYes
filename_prefixNo
countNo
sizeNo
qualityNo
backgroundNo
moderationNo
output_formatNo
output_compressionNo
userNo
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It mentions saving to local files but doesn't cover critical aspects like rate limits, authentication needs, error handling, or what happens if files already exist. For an 11-parameter tool with no annotation coverage, this leaves significant gaps in understanding its behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, well-constructed sentence that efficiently conveys the core functionality without unnecessary words. It's appropriately sized and front-loaded with the essential information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the complexity (11 parameters, no annotations, no output schema), the description is inadequate. It covers the basic purpose but lacks parameter explanations, behavioral context, usage guidelines, and output information. For a sophisticated image generation tool, this leaves too many unanswered questions.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage for 11 parameters, the description must compensate but fails to do so. It mentions 'prompt' and 'output_dir' implicitly through the action description but doesn't explain any of the other 9 parameters like 'size', 'quality', 'background', etc. This leaves most parameters semantically undocumented.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb ('generate') and resource ('images'), specifying it uses an OpenAI-compatible endpoint and saves to local files. It distinguishes from the sibling 'edit_image' by focusing on generation rather than editing. However, it doesn't explicitly contrast with the sibling tool, so it's not a perfect 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

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 like 'edit_image'. It mentions the general context of generating images from prompts but offers no explicit when/when-not instructions or prerequisites for usage.

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

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