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Color Converter

ColorConverter
Read-only

Color Converter: Color Converter translates color values across hex, RGB, CMYK, and named inputs into standard RGB formats and channel breakdowns. Paid plans expand output to include CMYK, HSL, ANSI 16-color codes, and recognized English color names. (Cost: 1 credit)

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "ColorConverter"
  }
}

Input Schema

NameRequiredDescriptionDefault
hexNoThe color in hexadecimal format (e.g., FF0000). Make sure you ommit the #
hslNoThe color in HSL format (e.g., 0,100,50)
rgbNoThe color in RGB format (e.g., 255,0,0)
cmykNoThe color in CMYK format (e.g., 0,1,1,0)
nameNoThe color in common name format (e.g., red)

Output Schema

NameRequiredDescriptionDefault
dataNo
errorNoError message, null on success
statusNo"ok" on success

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, openWorldHint, and destructiveHint=false. The description adds useful behavioral context: a cost of 1 credit and that paid plans expand output to include CMYK, HSL, ANSI codes, and English color names. It does not clarify parameter precedence or what happens when multiple color inputs are provided.

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 two sentences and front-loads the core function. The opening 'Color Converter: Color Converter' is slightly redundant, but the second sentence about paid plans adds useful context without bloat.

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's simplicity, the presence of an output schema, full parameter descriptions, and annotations, the description is largely complete. It covers input formats, output capabilities, and cost, though it omits how multiple optional parameters interact.

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 schema already documents each parameter with examples. The description mentions the input formats but adds no new meaning about mutual exclusivity, precedence, or expected combinations, so the baseline of 3 applies.

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 states a specific verb ('translates') and resource ('color values'), listing input formats (hex, RGB, CMYK, named) and output formats (standard RGB, channel breakdowns). It does not explicitly distinguish itself from sibling color tools like ColorNameFinder or TexttoColor, so it falls short of a 5.

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?

There is no guidance on when to use this tool versus alternatives such as ColorNameFinder, ColorSimilarityCalculator, or TexttoColor. The paid-plan note describes output capabilities but does not help an agent decide when this converter is the right choice.

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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