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stability_image_to_image

Apply a text prompt to transform an existing image using AI-driven image-to-image generation.

Instructions

Transform an existing image using a text prompt with Stability AI.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_keyYes
promptYes
image_urlYesURL of the source image
engine_idNo
negative_promptNo
strengthNo0.0-1.0: how much to change the image (default: 0.35)
stepsNo
cfg_scaleNo
samplesNo
Behavior2/5

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

No annotations are provided, and the description only mentions 'transform', implying a mutation operation. There is no disclosure of authentication requirements (api_key), rate limits, or any side effects beyond the basic transformation.

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

Conciseness2/5

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

While the description is concise (one sentence), it is under-specified for a tool with 9 parameters. It fails to earn its place by omitting critical details.

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

Completeness1/5

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

Given the complexity (9 params, no output schema, no annotations), the description is severely inadequate. It fails to explain what the tool returns, error handling, or any behavioral expectations.

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?

Schema description coverage is only 22%, and the description adds no parameter information. It merely restates the prompt parameter implicitly. Most parameters (e.g., api_key, engine_id, negative_prompt) are left unexplained.

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 that the tool transforms an existing image using a text prompt, which aligns with the tool name. However, it does not distinguish this tool from siblings like stability_text_to_image or stability_upscale.

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 or any prerequisites. It is missing context on use cases or exclusions.

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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