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Heatmap

render_heatmap_chart
Read-onlyIdempotent

Visualize data patterns by rendering a color-coded heatmap grid with customizable rows, columns, and color scales to identify strengths across categories.

Instructions

Render a heatmap - 'When are patterns strongest?' Color-coded grid of values across rows and columns. Supports color scales: default (blue-purple-orange), red-green, blue, heat.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
rowsYesRow labels
themeNoTheme preset: boardroom, corporate, sales-floor, golden-treasury, clinical, startup, ops-control, tokyo-midnight, zen-garden, consultant, black-tron, black-elegance, black-matrix, forest-amber, forest-earth, sky-light, sky-ocean, sky-twilight, gray-hf, gray-copilot, office-red
titleYesChart title
valuesYes2D array of values [row][column]
columnsYesColumn labels
effectsNoOverride effects: none, subtle, shimmer, neon, energetic
paletteNoOverride palette only (mix-and-match)
colorScaleNoColor scale: default, red-green, blue, heat
typographyNoOverride typography: professional, luxury, cyberpunk, editorial, mono, bold, system, techno
Behavior3/5

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

Annotations already provide readOnlyHint=true and idempotentHint=true, so the description need not repeat those. It adds that color scales are supported, but does not disclose other behavioral traits like input validation, performance, or error handling.

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?

The description is a single, concise sentence with a question and key details. It is front-loaded and efficient, though it could benefit from slightly more structure to separate use case from features.

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?

Given the tool has 9 parameters (4 required) and no output schema, the description fails to explain how values map to colors, usage of theme and effects, or expected output format. It is minimal and leaves many behavioral aspects undocumented.

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%, so the schema already describes each parameter. The description mentions supported color scales, which overlaps with the schema's colorScale description. It adds marginal value beyond what the schema provides.

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 clearly states it renders a heatmap, a color-coded grid, and adds a use-case question 'When are patterns strongest?'. It distinguishes from sibling tools by specifying the heatmap type, but does not explicitly differentiate from other heatmap-like tools if any exist.

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?

The description provides no guidance on when to use this tool versus alternatives. The question 'When are patterns strongest?' implies a use case but does not explicitly state scenarios or when not to use it. No alternatives mentioned.

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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