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plot_interactive_boxplot

Generate web-ready interactive box plots to explore data distributions. Provide a data file, specify x and y columns, and optionally group by color.

Instructions

Generates a web-ready interactive Plotly box plot.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
titleYes
x_columnYes
y_columnYes
color_columnNo
data_file_pathYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations, the description must fully convey behavioral traits. It only states the output type (web-ready Plotly box plot) but does not disclose side effects (e.g., file saving), limitations, or required permissions. The minimal disclosure fails to inform the agent adequately.

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 concise sentence with no wasted words. However, it is too brief given the tool's complexity (5 parameters, required fields, output schema), sacrificing necessary information for brevity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 5 parameters (4 required), an output schema, and no parameter descriptions, the description is severely incomplete. It does not explain what a box plot is, how parameters relate, or any constraints, leaving the agent without sufficient context for correct invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 0% description coverage, and the tool description adds no information about the parameters. The agent receives no guidance on the meaning or expected format of data_file_path, x_column, y_column, title, or color_column.

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 web-ready interactive Plotly box plot, specifying the verb, resource, and format. However, it does not explicitly differentiate from sibling tools like plot_static_boxplot or plot_interactive_barchart beyond the name, leaving room for ambiguity.

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 provides no guidance on when to use this tool versus alternatives such as histograms or scatterplots. It lacks context on prerequisites or appropriate use cases, leaving the agent without decision support.

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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