Skip to main content
Glama
docsor1212

aesthete-agent

Palette Matrix Impl

palette_matrix_impl

Generate a full pairwise contrast matrix for a color palette using WCAG or APCA, and get a best-pair recommendation.

Instructions

Full pairwise contrast matrix (WCAG ratios or APCA Lc) + best-pair recommendation.

Input Schema

NameRequiredDescriptionDefault
methodNowcag
paletteYes
recommendNo

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.7/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden, yet it only names the output content (matrix + recommendation). It does not state that this is a pure read-only computation with no side effects, nor what the method switch changes or what 'recommend' toggling does. For a zero-annotation tool this is a notable gap.

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

Conciseness4/5

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

A single tight sentence that front-loads the core output (the contrast matrix) before the appended recommendation. There is no filler, though the compression comes at the cost of the missing detail noted elsewhere rather than through deliberate density.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With an output schema present, return values need not be explained, but the description leaves the 0%-covered parameters undocumented and offers no distinction from the many sibling palette tools. For a 3-parameter tool with zero annotation support, this is insufficient.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate for all three parameters. It hints at the method choice ('WCAG ratios or APCA Lc') and the recommendation feature, but never maps these to the 'method' or 'recommend' parameters explicitly, and gives no guidance on the 'palette' string format.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific computation ('full pairwise contrast matrix') with two supported metrics (WCAG ratios or APCA Lc) plus a 'best-pair recommendation', which is concrete enough for an agent to know what the tool produces. However, it never differentiates itself from the related sibling palette_contrast_impl, leaving ambiguity about which one to pick.

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

Usage Guidelines2/5

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

There is no indication of when to use this tool versus alternatives such as palette_contrast_impl, palette_score_impl, or palette_report_impl. No prerequisites, exclusions, or usage context are provided beyond the implicit 'give me a matrix' reading.

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