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stability_upscale

Upscale images to a higher resolution using Stability AI's ESRGAN model. Provide the image URL and optional target width.

Instructions

Upscale an image using Stability AI ESRGAN.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_keyYes
image_urlYesURL of the image to upscale
widthNoTarget width in pixels (default: 2048)
engine_idNoUpscale engine (default: esrgan-v1-x2plus)
Behavior2/5

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

No annotations are provided, so the description bears full responsibility for behavioral disclosure. It only states 'Upscale an image' but does not clarify whether it creates a new image, what the output format is, authentication requirements beyond the api_key parameter, or any side effects. This is insufficient for safe invocation.

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, concise sentence that gets straight to the point. It is front-loaded and avoids unnecessary words, though it could benefit from slightly more detail without becoming verbose.

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 absence of an output schema, the description fails to explain what the tool returns (e.g., URL, base64). It also does not reference the family of Stability AI tools or provide context on engine selection. For a tool with 4 parameters, the description is overly minimal.

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 75%, with api_key missing a description. The tool description adds no information about parameters (e.g., default width, engine_id variants). It does not compensate for the missing api_key description or clarify the meaning of the parameters beyond the schema.

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 the action (upscale) and the resource (image) and specifies the tool (Stability AI ESRGAN). It easily distinguishes from sibling tools like stability_image_to_image or stability_text_to_image, which serve different purposes.

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 (e.g., stability_image_to_image for image editing). It does not mention prerequisites, context, or exclusions, leaving the agent to infer usage from the name and sibling list.

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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