color_convert
Convert color between hex, rgb(), and hsl().
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| color | Yes | hex, rgb(), or hsl() | |
| to_format | No | all |
Convert color between hex, rgb(), and hsl().
| Name | Required | Description | Default |
|---|---|---|---|
| color | Yes | hex, rgb(), or hsl() | |
| to_format | No | all |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, and the description does not disclose any behavioral traits such as whether the operation is read-only, side-effect-free, or has any constraints. For a simple conversion tool, the description is minimal but lacks transparency about output format or error handling.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single concise sentence that efficiently conveys the tool's purpose without unnecessary words or repetition. It is well-structured for quick comprehension.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's simplicity and the presence of a schema with an enum for to_format, the description covers the basic purpose. However, it omits explaining the output format or behavior when to_format defaults to 'all', leaving the agent to infer from the schema. This is adequate but not fully complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 50% (color parameter described, to_format only via enum). The description adds no semantics beyond the schema for either parameter; it merely restates the color format options already in the schema. It does not explain the meaning or effect of the to_format parameter.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly specifies the tool's function: converting colors between hex, rgb(), and hsl() formats. It uses a specific verb ('convert') and explicitly names the three supported formats, which distinguishes it from siblings like 'color_contrast'.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage for color format conversion but provides no guidance on when to use this tool versus alternatives (e.g., no mention of color_contrast or other color-related tools). No exclusions or contextual cues are given.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Every tool has a clear, distinct purpose with thorough descriptions. Even closely related tools like base64_decode/encode and hash_md5/sha256 are easily differentiated by name and description.
All tools follow a consistent lowercase_underscore naming convention, typically in a <domain>_<action> or <action>_<domain> pattern. There are no jarring deviations or mixed styles.
193 tools is an extreme count, far beyond what any focused server needs. While each tool has utility, the sheer number creates a kitchen-sink effect that overwhelms agents and hinders discoverability.
Within each subdomain (JSON, cron, JWT, etc.), the coverage is exhaustive, covering validation, conversion, parsing, and more. Minor gaps exist (e.g., YAML-to-TOML conversion missing), but overall it is remarkably complete.