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by ZeroTian

generate_color_ramp

Generate a shading ramp from a base color for pixel art, with hue-shifted shadows and highlights. Returns colors ordered from dark to light.

Instructions

Generate a shading ramp (dark to light) from a base color.

Produces the standard pixel-art shading technique of hue-shifting: shadows lean cooler (hue shifted one way), highlights lean warmer. Use the returned colors for shading instead of plain darker/lighter versions of the same hue.

Args: base_color: Hex color the ramp is built around, e.g. "#D04648" steps: Number of colors in the ramp, 2-16 (default 5) hue_shift_degrees: Total hue rotation across the ramp (default 20) lightness_range: Total lightness span across the ramp, 0-1 (default 0.5)

Returns: JSON array of hex colors ordered darkest to lightest.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
base_colorYes
stepsNo
hue_shift_degreesNo
lightness_rangeNo
Behavior5/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It explains the hue-shifting behavior (shadows cooler, highlights warmer), specifies the return format (JSON array of hex colors), and details arguments including defaults and ranges. This provides complete transparency for an agent to understand side effects and results.

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 is concise: two introductory paragraphs plus a labeled Args list. It front-loads the purpose and uses minimal yet informative language. Every sentence adds value, with no redundancy or fluff.

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

Completeness5/5

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

For a tool with 4 parameters, no output schema, and no annotations, the description is complete. It covers the purpose, algorithmic behavior, parameter details including defaults and ranges, and return format. An agent has sufficient information to invoke correctly.

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

Parameters5/5

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

The input schema has 0% description coverage, meaning only type info is provided. The description compensates fully by explaining each parameter: base_color with example, steps with range (2-16) and default 5, hue_shift_degrees default 20, lightness_range default 0.5. It adds significant meaning 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 it generates a shading ramp from a base color using hue-shifting for pixel-art shading. The verb 'generate' and resource 'color ramp' are specific, and it distinguishes itself from plain darker/lighter versions of the same hue. Among siblings, it uniquely focuses on color ramp generation.

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 implicitly tells when to use the tool: 'Use the returned colors for shading instead of plain darker/lighter versions of the same hue.' It provides clear context for pixel-art shading. While it does not explicitly compare to siblings like adjust_hsl or palette-related tools, the guidance is sufficient for the intended use case.

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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