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liukeyu800

mcp-server-chart-offline

generate_histogram_chart

Generate a histogram chart to display frequency of data points within ranges, revealing data distribution, concentration areas, and extreme values. Accepts numerical data and optional bin number.

Instructions

Generate a histogram chart to show the frequency of data points within a certain range. It can observe data distribution, such as, normal and skewed distributions, and identify data concentration areas and extreme points.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesData for histogram chart, such as, [78, 88, 60, 100, 95].
binNumberNoNumber of intervals to define the number of intervals in a histogram.
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, so the description must disclose behavioral traits. It states 'generate' but does not disclose whether it creates a file, returns a URL, or renders inline; nor does it mention side effects, authorization, or limitations. The description is insufficient for understanding the tool's behavior beyond its core function.

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 two sentences, efficient and front-loaded with purpose. No 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?

The tool has 8 parameters and no output schema. The description explains the purpose and use case but is silent on return format, error handling, or output behavior. Given the complexity, additional context about what the tool returns would be needed for an agent to correctly interpret and use the result.

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?

All parameters have descriptions in the schema (100% coverage), so the description adds little value beyond what the schema already provides. It mentions data and binNumber briefly but does not elaborate on usage nuances 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 it generates a histogram chart to show frequency of data points within ranges, distinguishing it from sibling chart tools that serve different plot types. It explains the purpose of observing distribution, concentration, and extremes, but does not explicitly differentiate from alternatives like bar chart.

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

Usage Guidelines2/5

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

The description does not provide explicit guidance on when to use this chart type versus alternatives. Usage is implied through the description of histogram use, but no exclusions or context settings are given, leaving the agent without clear decision criteria.

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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