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Bullet Chart

render_bullet_chart
Read-onlyIdempotent

Display KPI vs target performance as horizontal bullet charts with color-coded zones and target markers. Supports 2-8 thresholds, optional labels, and customizable themes for goal tracking.

Instructions

Render bullet charts - 'Are we hitting target?' Horizontal bars with qualitative zones and a target marker. Supports 2-8 zones with optional labels and colors. Great for KPI vs target, seniority bands, maturity models.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesArray of bullet items
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
effectsNoOverride effects: none, subtle, shimmer, neon, energetic
paletteNoOverride palette only (mix-and-match)
typographyNoOverride typography: professional, luxury, cyberpunk, editorial, mono, bold, system, techno
zoneColorsNoCustom colors per zone band. Defaults to red-to-green gradient
zoneLabelsNoLabels for each zone band. Length should be zones+1 (e.g., 5 thresholds = 6 labels)
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the description adds value by detailing the chart's visual elements (zones, target marker) and constraints (2-8 zones). No contradiction with annotations.

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?

Two efficient sentences covering purpose, features, and use cases. No filler, front-loaded with key information.

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?

For a chart-rendering tool with no output schema and 8 parameters, the description covers core purpose and zone details. Could mention theme/palette support briefly, but schema handles specifics. Adequately complete.

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% with descriptions for all parameters. The description does not add new parameter-specific details beyond the schema, so baseline score applies.

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?

Description clearly states the verb ('render'), resource ('bullet chart'), and its purpose ('Are we hitting target?'). It distinguishes from sibling charts like render_bar_chart by defining the specific chart type and use case (KPI vs target, maturity models).

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

Usage Guidelines4/5

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

Provides examples of when to use (KPI vs target, seniority bands) but does not explicitly state when not to use or name alternatives. Still, the context helps the agent decide.

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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