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rog0x

mcp-color-tools

by rog0x

palette_generate

Generate complementary, analogous, triadic, split-complementary, or monochromatic palettes from a base color.

Instructions

Generate a color palette from a base color. Types: complementary, analogous, triadic, split-complementary, monochromatic.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeYesPalette type: complementary, analogous, triadic, split-complementary, monochromatic
colorYesBase color in any supported format
Behavior2/5

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

No annotations are provided, so the description carries full behavioral disclosure burden. It only states the action and types, offering no information about output format, determinism, error handling, or side effects. For a generation tool, the missing output specification is a notable gap.

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 a single, efficient sentence that front-loads the core action ('Generate a color palette from a base color') and then lists the types. There is no redundancy or unnecessary information.

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

Completeness3/5

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

The description is adequate for invoking the tool correctly (color and type), but it omits output expectations (e.g., whether the result is an array of hex codes) and does not specify supported color formats. With no output schema and no annotations, these gaps reduce completeness for an agent that needs to interpret the result.

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?

The input schema already provides descriptions for both parameters (color: 'Base color in any supported format'; type: enum list). The tool description restates the type list but adds no new semantic meaning beyond what the schema covers. With 100% schema coverage, baseline 3 is appropriate.

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 states a clear verb ('generate') and resource ('color palette'), and explicitly lists the five palette types, making the tool's function unambiguous. It naturally distinguishes itself from siblings like color_convert (conversion), contrast_check (contrast), and color_mix (mixing) by focusing on palette generation.

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

Usage Guidelines3/5

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

Usage context is implied by the purpose ('generate a palette from a base color') but no explicit when-to-use or when-not-to-use guidance is given. Alternatives are not mentioned, and there are no exclusions, so an agent must infer that this is for palette creation rather than single-color operations.

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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