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Fix contrast (WCAG)

fix_contrast

Compute the closest WCAG-compliant foreground color for a given background to achieve AA contrast (4.5:1).

Instructions

Compute the closest WCAG-compliant foreground color for a fg/bg pair (AA 4.5:1 normal text). Deterministic - no LLM.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bgYesBackground color: #rgb, #rrggbb or rgb(r,g,b)
fgYesForeground color: #rgb, #rrggbb or rgb(r,g,b)
targetNoTarget contrast ratio (default 4.5, AA normal text)
Behavior4/5

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

No annotations are provided, so the description carries the burden. It explicitly states 'Deterministic - no LLM', adding behavioral confidence. However, it does not specify what the output format is or whether it mutates anything.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

One sentence with key information front-loaded. Every word serves a purpose: verb, resource, constraints, determinism.

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?

With no output schema, the description should clarify return value. It states it computes a color but not what the tool returns (just the new color? a ratio? success status?). Also missing error handling info.

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?

Schema coverage is 100%, and the schema already describes parameters with formats and default. The description adds no additional meaning beyond the schema.

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 a specific verb (compute) and resource (foreground color) with clear context (WCAG-compliant, AA 4.5:1 normal text). It distinguishes from siblings like audit_page and generate_alt_text by focusing on color computation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Implied usage is clear (when you need WCAG-compliant foreground color), but no explicit guidance on when not to use or alternatives among siblings. The description does not exclude any context.

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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