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generate_scatter_chart

Visualize the relationship between two variables using a scatter chart. Identify correlation strength and data distribution patterns from your data points.

Instructions

Generate a scatter chart to show the relationship between two variables, helps discover their relationship or trends, such as, the strength of correlation, data distribution patterns.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
axisXTitleNoSet the x-axis title of chart.
axisYTitleNoSet the y-axis title of chart.
dataYesData for scatter chart, such as, [{ x: 10, y: 15 }, { x: 20, y: 25 }].
heightNoSet the height of the chart, default is 600px.
themeNoSet the theme for the chart, optional, default is 'default'.default
titleNoSet the title of the chart.
widthNoSet the width of the chart, default is 800px.
outputTypeNoThe output type of the diagram. Can be 'png', 'svg' or 'option'. Default is 'png', 'png' will return the rendered PNG image, 'svg' will return the rendered SVG string, and 'option' will return the valid ECharts option.png
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It describes the chart type and purpose but lacks details on side effects, data constraints, or output specifics beyond basic chart generation.

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 a single concise sentence that effectively communicates the tool's purpose without unnecessary words.

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 agent might benefit from more detail on output format or behavior. The description covers the 'why' but not the 'what' of the return value, though the input schema's outputType parameter hints at it.

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 description coverage is 100%, so the baseline is 3. The description adds no new semantic information about parameters beyond what the schema already provides.

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 clearly states 'Generate a scatter chart' and explains its purpose: 'to show the relationship between two variables'. This distinguishes it from sibling chart tools.

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?

The description provides context on when to use the tool: 'helps discover their relationship or trends, such as, the strength of correlation, data distribution patterns.' It doesn't explicitly state alternatives, but the purpose is clear.

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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