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adjust_image

Modify image brightness, contrast, sharpness, and saturation with precise numeric controls. Adjust values above or below 1.0 to enhance or reduce each parameter for optimal visual results.

Instructions

Adjust brightness, contrast, sharpness, and saturation. 1.0 = no change, >1 = increase, <1 = decrease.

Free tool — runs locally, no account needed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
file_pathYes
brightnessNo
contrastNo
sharpnessNo
saturationNo
output_pathNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

With no annotations, the description carries full burden and adds valuable behavioral context: it explains the numeric scale (1.0 = no change), indicates it's a free tool that runs locally without an account, and implies it performs image processing. However, it doesn't detail side effects like file overwriting or performance characteristics.

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?

Two sentences, zero waste: the first explains the core function and parameter semantics, the second adds important behavioral context about cost and execution. It's appropriately sized and front-loaded with the essential information.

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 6 parameters with 0% schema coverage and no annotations, the description does well by explaining 4 parameters and key behavioral traits. With an output schema present, it doesn't need to explain return values. However, it misses details on 'file_path' and 'output_path' usage, and lacks sibling differentiation.

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

Parameters4/5

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

Schema description coverage is 0%, so the description must compensate. It explains the meaning of adjustment parameters (brightness, contrast, sharpness, saturation) and their numeric scale, which adds crucial semantics beyond the schema's titles. It doesn't cover 'file_path' or 'output_path', leaving some parameters undocumented.

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 adjusts brightness, contrast, sharpness, and saturation of an image, which is a specific verb+resource combination. It distinguishes from siblings like 'enhance_image' or 'grayscale_image' by specifying the exact adjustments, though it doesn't explicitly contrast with them.

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 'enhance_image' or 'blur_image'. The description mentions it's a free local tool, which hints at cost/access context, but doesn't specify use cases or exclusions relative to sibling tools.

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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