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Heatmap

render_heatmap_chart
Read-onlyIdempotent

Display a color-coded heatmap grid to identify patterns across rows and columns, with customizable color scales and themes.

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
titleYesChart title
rowsYesRow labels
columnsYesColumn labels
valuesYes2D array of values [row][column]
colorScaleNoColor scale: default, red-green, blue, heat
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
paletteNoOverride palette only (mix-and-match)
typographyNoOverride typography: professional, luxury, cyberpunk, editorial, mono, bold, system, techno
effectsNoOverride effects: none, subtle, shimmer, neon, energetic
Behavior3/5

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

Annotations already indicate readOnlyHint=true, destructiveHint=false, idempotentHint=true. The description does not contradict these and adds no new behavioral context beyond stating it renders a chart.

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?

The description is two sentences, front-loaded with the primary purpose, and adds relevant detail without unnecessary words. Every sentence provides value.

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

Completeness4/5

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

Given the 9 parameters without output schema, the description covers the essential purpose and key parameter (colorScale). Optional styling parameters are not explained but are self-explanatory from their names and schema descriptions.

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

Parameters4/5

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

Schema coverage is 100%, so baseline is 3. The description adds meaning by explaining the purpose of values ('color-coded grid') and listing supported color scales, which is not in the schema's description for colorScale.

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 as a 'color-coded grid of values across rows and columns' and mentions supported color scales. It distinguishes itself from sibling chart tools by specifying the heatmap format, but does not explicitly differentiate when to use heatmap vs other chart types.

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?

The description hints at use cases with 'When are patterns strongest?' suggesting pattern detection, but lacks explicit guidance on when to use this tool vs alternatives, nor does it mention when not to use it.

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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