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Everyday DevTools MCP

Everyday DevTools MCP

by Deependra12349
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

color_convert

Converts a color value between hex (#1A2B3C) and rgb(26, 43, 60) formats for quick developer color code translation.

Instructions

Convert a colour between hex (#1A2B3C) and rgb(26, 43, 60) forms.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "value": "<value>"
    },
    "name": "color_convert"
  }
}

Input Schema

NameRequiredDescriptionDefault
valueYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.6/5.0
Behavior3/5

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

With no annotations, the description must carry the behavioural burden, and it does convey that this is a pure reversible format transform with no side effects. It does not disclose what happens with malformed input (e.g. an invalid hex string) or whether errors are raised versus returned.

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?

One sentence, front-loaded with the verb and resource, with the two format examples embedded where they are needed. Nothing is padded and nothing is redundant.

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?

For a one-parameter pure conversion function with no output schema, the input side is adequately covered by the examples. The return shape (plain string versus structured object) is not stated and there is no output schema to fill that gap, leaving a modest hole.

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 coverage is 0% — the single 'value' parameter is an untyped-in-practice string with no description — so the inline examples of both accepted formats are the only signal an agent gets about what to pass. That is meaningful compensation, though it does not formally enumerate accepted variants.

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 names a specific verb ('Convert') and resource ('colour') and pins down both accepted forms with concrete examples, hex (#1A2B3C) and rgb(26, 43, 60). The only ambiguity is whether direction is auto-detected from the input, which is left implicit rather than stated.

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 is only implied: the agent can infer the tool applies whenever a colour representation needs changing. No sibling does colour work, so no exclusion is strictly needed, but there is no explicit when-to-use statement either.

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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