Skip to main content
Glama

generate_bar_chart

Create bar charts to compare numerical values across categories. Specify data with category and value, optionally group or stack. Customize axis titles, chart title, dimensions, and theme. Output as PNG, SVG, or ECharts option.

Instructions

Generate a bar chart to show data for numerical comparisons among different categories, such as, comparing categorical data and for horizontal comparisons.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
axisXTitleNoSet the x-axis title of chart.
axisYTitleNoSet the y-axis title of chart.
dataYesData for bar chart, such as, [{ category: 'Category A', value: 10 }, { category: 'Category B', value: 20 }] or [{ category: 'Category A', value: 10, group: 'Group A' }].
heightNoSet the height of the chart, default is 600px.
groupNoWhether grouping is enabled. When enabled, bar charts require a 'group' field in the data. When `group` is true, `stack` should be false.
stackNoWhether stacking is enabled. When enabled, bar charts require a 'group' field in the data. When `stack` is true, `group` should be false.
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
Behavior2/5

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

With no annotations provided, the description carries the full burden. It only states 'generate a bar chart' without disclosing behavioral traits such as side effects, authentication, or whether the operation is safe (e.g., read-only). The return type is hinted via outputType parameter but not in description.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence but contains redundancy ('comparing categorical data' and 'horizontal comparisons' overlap). It is sufficiently short but could be more concise and front-loaded.

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?

Given 10 parameters and no output schema, the description provides a minimal overview but does not cover output format, grouping/stacking behavior, or practical usage scenarios. The schema fills many gaps, so completeness is adequate but not thorough.

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 baseline is 3. The description adds no additional meaning beyond the schema; it does not elaborate on parameter usage or constraints.

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 the tool generates a bar chart for numerical comparisons among different categories, which distinguishes it from sibling chart types like line or pie. However, it does not explicitly differentiate from other chart tools, but the context of bar charts is clear.

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 implies usage for comparing categorical data numerically but lacks explicit guidance on when to prefer this tool over siblings or when not to use it. No alternatives or exclusions are mentioned.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/hustcc/mcp-echarts'

If you have feedback or need assistance with the MCP directory API, please join our Discord server