color_difference

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

No annotations are provided, so the description fills in behavioral details: accepted color formats (hex, CSS name, RNV brand name, saved-palette reference), method defaults, and a threshold for human perception. It could mention side-effects or limitations but overall is informative.

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 concise and front-loaded: first sentence states purpose, then covers inputs and method, then interpretation, then return value. Every sentence adds value with no redundancy.

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 presence of an output schema, the description covers inputs and behavior completely. It explains what the return value means (value and interpretation) beyond what the schema likely provides. All necessary context is present for the agent to use the tool correctly.

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 0%, but the description adds substantial meaning: color1 and color2 accept multiple formats, the 'method' parameter has clear options and a default. This fully compensates for the lack of schema descriptions.

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 states the tool computes 'Perceptual difference (Delta-E) between two colors', specifying the exact verb and resource. It distinguishes from siblings like 'contrast_check' (likely contrast ratio) and 'convert_color' by focusing on perceptual difference.

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 explains the two method options ('ciede2000' vs 'cie76') and their interpretations, but does not explicitly guide when to use this tool over alternatives like 'contrast_check' or 'generate_harmony'. It implies usage through parameter details but lacks explicit context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.