Compare Two Palettes

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

The description discloses the types of outputs returned (timelessness scores, etc.), which adds behavioral context beyond the readOnlyHint annotation. It does not contradict the annotation and clearly indicates a read-only operation.

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?

Two sentences efficiently convey the tool's purpose and outputs. No superfluous information; key points are front-loaded.

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 appropriately lists return components without redundant detail. It covers the main comparison dimensions, though it could briefly mention that the use_case parameter influences the comparison (implied but not explicit).

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?

The input schema already provides 100% coverage with descriptions for all four parameters. The description adds context about the use_case parameter but does not significantly enhance understanding beyond the schema. Baseline 3 is appropriate.

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 it performs a deep perceptual, cultural, and commercial comparison between two palettes, listing specific outputs like timelessness scores and winner verdict. This distinguishes it from sibling tools like colour_compare (single colors) or palette_audit (comprehensive audit).

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 use by mentioning 'for the stated use case' but does not explicitly guide when to use vs alternatives like palette_verdict or palette_audit. Context from sibling names suggests differentiation, but no direct usage guidance is provided.

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