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Glama

Color converter

color_converter

Convert a color between HEX, RGB and HSL. Accepts #hex, rgb()/rgba(), hsl()/hsla(). Runs on smart-tools.xyz.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
colorYesColor in any of: #1a7f5a, rgb(26,127,90), hsl(154,66%,30%)
localeNoLanguage for the source_url link (default en)

TDQS

A3.8/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It discloses accepted input formats (#hex, rgb()/rgba(), hsl()/hsla()) but does not describe the output format or side effects. The mention of 'Runs on smart-tools.xyz' adds no behavioral insight.

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 concise and front-loaded, with the core purpose in the first sentence. However, the trailing 'Runs on smart-tools.xyz' is unnecessary for tool invocation and could be omitted for clarity.

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 simple converter with full schema coverage, the description covers input formats but leaves gaps: no output schema and no mention of what the tool returns (e.g., all three formats). The locale parameter's purpose in the description is also unexplained beyond the schema.

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?

Both parameters are already described in the input schema (color examples, locale purpose), so the description adds minimal extra meaning. It restates the color formats but does not elaborate on locale's role or output implications.

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 'Convert a color between HEX, RGB and HSL' with a specific verb and resource, clearly distinguishing it from sibling converter tools. It directly tells the agent what the tool does.

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 clearly conveys the tool's domain and accepted input formats, making it obvious when to use it. However, it does not explicitly mention exclusions or alternatives (e.g., wcag_contrast_checker), though these are less critical for a focused converter.

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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TDQS

B3.3/5.0
Disambiguation3/5

Most tools are clearly distinct, but there are notable overlaps. 'hash_generator' and 'file_hash' effectively do the same thing (SHA hashing of text), and several CSV/TSV converters (csv_to_json, csv_to_sql, table_to_csv, markdown_table) have similar input handling, though outputs differ. The sheer number of converters is clear, but these near-duplicates create some ambiguity.

Naming Consistency4/5

Names follow a generally consistent pattern: lowercase with underscores, often ending in 'converter', 'calculator', or 'generator'. A few names like 'base64', 'lorem_ipsum', and 'transliteration' deviate from the suffix pattern, but the naming style is uniform and predictable overall.

Tool Count2/5

With 73 tools, this server is far over the typical well-scoped range. While the broad utility-toolkit purpose might justify a larger set, 73 is unwieldy and pushes well into 'too many' territory, making it harder for an agent to select the right tool efficiently.

Completeness4/5

The server covers a remarkably wide range of common utilities: unit conversions, calculators, text transformations, development helpers (JSON, regex, JWT, subnet), and generators. Minor gaps exist (e.g., currency converter, time zone converter), but for a general-purpose toolkit, it is largely comprehensive.

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