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x402-color-temperature

Color Temperature: Temperature of color.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
valueNoValue to process
kelvinNoKelvin to process

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • addedInput schema / properties / kelvin
      Added value: +{
      +  "description": "Kelvin to process",
      +  "type": "string"
      +}
    • addedInput schema / properties / value
      Added value: +{
      +  "description": "Value to process",
      +  "type": "string"
      +}
  2. First observed

TDQS

D1.9/5.0
Behavior1/5

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

No annotations are provided, so the description carries the full behavioral burden, and it discloses nothing: no computation semantics, no accepted input formats, no error behavior, no note that both parameters are optional (required=0), which is itself surprising for a conversion tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

It is short, but this is under-specification rather than conciseness; there is no front-loaded statement of action or return. The single sentence conveys essentially zero usable information beyond the tool name.

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

Completeness1/5

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

With no annotations, no output schema, and two loosely named string parameters, the description needed to explain input format and output shape and does neither. Nothing an agent needs in order to invoke this correctly is present.

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 reported at 100%, which sets the baseline at 3 under the rubric. However, the coverage is nominal only — both fields are documented as 'Value to process' and 'Kelvin to process' — and the description adds no clarification of how 'value' and 'kelvin' relate or which is input vs. output.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Color Temperature: Temperature of color.' restates the tool name without stating any operation, verb, or output. An agent cannot tell whether it converts a Kelvin value into an RGB/hex color, returns the Kelvin of a given color, or classifies a light source. It is a tautology rather than a statement of purpose.

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 when-to-use guidance, no prerequisites, and no mention of alternatives. This is especially costly here because highly similar siblings exist (x402-temperature, x402-temperature-convert, x402-color-converter, x402-color-name), and nothing explains which one applies.

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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