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upscale_image

Increase image resolution by 2x or 4x using AI. Requires Google Cloud Vertex AI credentials.

Instructions

Upscale an image to higher resolution (requires Vertex AI).

This feature requires Google Cloud Vertex AI credentials. Set GOOGLE_CLOUD_PROJECT environment variable to enable.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
image_pathYesPath to the image to upscale
output_formatNoOutput format (png, jpeg, webp)png
upscale_factorNoScale factor: "x2" (double) or "x4" (quadruple)x2
output_filenameNoCustom output filename (optional)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations are provided. The description discloses the requirement of Vertex AI credentials but does not mention behavioral traits such as whether the original image is modified, cost implications, or error handling. For a non-destructive read-like operation, this is adequate but not exemplary.

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 consists of two short, front-loaded sentences with no extraneous information. Every sentence adds value: the first defines the action and dependency, the second explains setup.

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

Completeness4/5

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

Given the tool has an output schema (context indicates true), the description covers the essential purpose and a key prerequisite. With 4 parameters and 1 required, it is fairly complete for a straightforward upscaling tool.

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 additional meaning beyond the schema; it only restates the requirement for credentials. No parameter details are elaborated.

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 tool's purpose: 'Upscale an image to higher resolution'. This is a specific verb+resource pair, and it distinguishes itself from sibling tools like edit_image or remove_background.

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

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides explicit prerequisites: requires Vertex AI and the environment variable GOOGLE_CLOUD_PROJECT. It does not compare directly with alternatives, but the context is sufficient for when to use this tool.

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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