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

No annotations are provided, but the description discloses key behavioral traits: it is read-only, deterministic, has no side effects, and returns the ratio plus pass/fail for AA/AAA at various text sizes and UI components. This fully covers the safety and output profile.

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?

Four concise sentences, each serving a distinct purpose: purpose, input formats, output details, and usage guidance with alternative. No superfluous content.

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?

With a simple two-parameter input and an output schema present, the description covers input formats, output details, and use cases. It is complete for the tool's complexity and integrates well with the existing schema.

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%, so the description compensates by explaining that both foreground and background accept hex, CSS name, RNV brand name, or saved-palette reference. This adds meaningful format information beyond the bare string type, though it could have elaborated on each parameter separately.

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 computes WCAG contrast ratio between foreground and background colors for accessibility. It explicitly distinguishes from sibling color_difference by noting the alternative for measuring perceptual difference rather than readability.

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?

It explicitly says to use this tool for legibility and accessibility checks, and names color_difference as the alternative for raw perceptual difference. This provides clear when-to-use and when-not-to-use guidance.

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