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Generate Radar Chart

generate_radar_chart
Read-only

Generate a radar chart to display multidimensional data (four dimensions or more), such as, evaluate Huawei and Apple phones in terms of five dimensions: ease of use, functionality, camera, benchmark scores, and battery life.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "data": "<data>"
    },
    "name": "generate_radar_chart"
  }
}

Input Schema

NameRequiredDescriptionDefault
dataYesData for radar chart, it should be an array of objects, each object contains a `name` field and a `value` field, such as, [{ name: 'Design', value: 70 }], when the data is grouped by `group`, the `group` field is required, such as, [{ name: 'Design', value: 70, group: 'Huawei' }].
styleNoStyle configuration for the chart with a JSON object, optional.
themeNoSet the theme for the chart, optional, default is 'default'.default
titleNoSet the title of chart.
widthNoSet the width of chart, default is 600.
heightNoSet the height of chart, default is 400.
brandThemeNoName of a brand theme saved on the user's account (their colours and footer), only when the user asks for their theme. Or "colorblind" for colours that people with colour-vision deficiency can tell apart (anyone can use it).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, so the safety profile is covered. The description adds the 4+ dimension suitability constraint but says nothing about what the tool returns (e.g., image, URL, chart object) or any rendering behavior. That leaves a meaningful behavioral gap for a chart-generation tool.

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 purpose and suitability rule are front-loaded in a single sentence. The Huawei/Apple example is somewhat long but directly illustrates the multidimensional requirement, so the definition remains efficient.

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?

The input schema is rich and fully documented, and the read-only annotation covers safety. However, with no output schema and no statement of return format, an agent cannot tell whether the result is an image URL, a chart object, or something else. The description should close that gap.

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%, and the schema itself explains the data array, grouping, style, theme, and dimensions in detail. The description adds only the four-dimension rule and an illustrative example, not parameter syntax or semantics beyond the schema.

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 verb ('Generate') and resource ('radar chart') and adds a concrete suitability rule: multidimensional data with four or more dimensions. The Huawei/Apple example makes the intended data shape immediately recognizable, though it does not explicitly name a sibling alternative for non-multidimensional comparisons.

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?

It gives a clear usage condition ('four dimensions or more') and an example of the kind of comparison it fits. It does not state when not to use a radar chart or point to an alternative chart generator, so guidance is contextual rather than complete.

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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