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generate_image

Create images from text descriptions using multiple AI providers. Choose from OpenAI DALL-E, xAI Aurora, Google Imagen, or BFL FLUX.

Instructions

Generate an image from a text prompt using AI. Providers: openai (DALL-E), xai (Aurora), google (Imagen), bfl (FLUX). Available: none configured

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
promptYesText description of the image to generate
providerNoProvider to use: openai, xai, google, bfl. Auto-selects if omitted.
aspectRatioNoAspect ratio: 1:1, 16:9, 9:16, 4:3, 3:4
qualityNoQuality level: low, standard, high
outputDirectoryNoDirectory to save the generated file. Supports absolute or relative paths (resolved from cwd). Defaults to MEDIA_OUTPUT_DIR env var or cwd.
providerOptionsNoProvider-specific parameters passed through directly
Behavior2/5

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

No annotations provided. The description does not disclose behavioral traits such as what the tool returns, side effects, rate limits, or authentication needs. It only states the basic function and available providers, which is insufficient.

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

Conciseness4/5

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

Description is very short and to the point, with no redundant words. However, the phrase 'Available: none configured' is cryptic and could be clearer.

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?

Despite having 6 parameters and no output schema, the description does not explain what the tool returns (e.g., file path, base64), nor does it clarify behavior for optional parameters like provider auto-selection. It is insufficient for an agent to use effectively.

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

Parameters3/5

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

Schema coverage is 100%, so baseline is 3. The description adds provider names with model aliases (e.g., openai (DALL-E)) and mentions availability, but this is marginal value beyond the schema's parameter descriptions.

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

Purpose5/5

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

The description clearly states that the tool generates an image from a text prompt using AI, listing supported providers. It distinguishes from sibling tools like edit_image, generate_audio, generate_video, transcribe_audio, and list_providers by focusing on image generation.

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?

Description lacks guidance on when to use this tool versus alternatives like edit_image. It lists providers but does not explain selection criteria, nor does it specify prerequisites or context 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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