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liukeyu800

mcp-server-chart-offline

generate_column_chart

Generate column charts to compare categorical data by height, with options for grouping or stacking series.

Instructions

Generate a column chart, which are best for comparing categorical data, such as, when values are close, column charts are preferable because our eyes are better at judging height than other visual elements like area or angles.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesData for column chart, such as, [{ category: '北京' value: 825; group: '油车' }].
groupNoWhether grouping is enabled. When enabled, column charts require a 'group' field in the data. When `group` is true, `stack` should be false.
stackNoWhether stacking is enabled. When enabled, column 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
widthNoSet the width of chart, default is 600.
heightNoSet the height of chart, default is 400.
titleNoSet the title of chart.
axisXTitleNoSet the x-axis title of chart.
axisYTitleNoSet the y-axis title of chart.
Behavior2/5

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

No annotations are provided, and the description does not disclose any behavioral traits such as side effects, permissions, or whether the tool is read-only. It focuses on visual properties, not tool behavior.

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 includes an awkward clause ('such as, when values are close...') which reduces clarity. It is not as concise as it could be.

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 description provides good high-level context but lacks details on how to use parameters like group/stack. Given the schema covers them, it is moderately 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 description coverage is 100%, so the description adds no extra meaning beyond the schema. Baseline 3 is appropriate.

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 column chart and explains when it is best used (comparing categorical data, especially when values are close). It provides a specific reason (judging height vs area/angles).

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 gives a hint about when column charts are preferable but does not explicitly guide when to use this tool versus alternatives like bar charts. No mention of 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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