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generate_image

Convert text prompts into images with Stable Image Ultra on AWS Bedrock. Adjust aspect ratio, exclude elements via negative prompts, and set a seed for reproducibility.

Instructions

Generate a high-quality image using Stable Image Ultra on Bedrock.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
seedNoSeed for reproducibility
promptYesText description of the image to generate (max 10000 chars)
filenameNoOutput filename without extension
output_dirNoOverride output directory
aspect_ratioNoAspect ratio, e.g. '16:9', '1:1', '9:16'
negative_promptNoWhat to exclude from the image
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It reveals the underlying model but does not disclose side effects (e.g., file output), return format, rate limits, or safety characteristics.

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?

The description is a single, efficient sentence that is easy to parse. It could be more informative, but it avoids unnecessary verbosity.

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?

With no output schema and 6 parameters, the description is under-specified. It does not explain the output file behavior, how to determine the result, or how this tool fits among its many siblings. The lack of annotations and return-value documentation leaves significant gaps.

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 description coverage is 100%, so the baseline is 3. The description does not add any parameter-specific semantics beyond what the schema already provides.

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 tool's action ('Generate a high-quality image') and identifies the specific model ('Stable Image Ultra on Bedrock'). However, it does not distinguish this tool from the sibling tool 'generate_image_core' or other image-manipulation tools.

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?

No guidance is provided on when to use this tool versus alternatives like generate_image_core, style_transfer, or upscale_fast. There is no mention of exclusions or preferred contexts.

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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