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origin_plot_column

Import table data and produce a column or bar graph from chosen columns. Adjust labels, title, legend, and export the result.

Instructions

Import table data and create a column/bar-style graph.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathYes
x_colNo
y_colsNo
book_nameNo
sheet_nameNo
excel_sheetNo
delimiterNo
encodingNo
headerNo
skiprowsNo
nrowsNo
na_valuesNo
graph_nameNo
templateNo
titleNo
x_labelNo
y_labelNo
y_error_colNo
show_legendNo
style_modeNoorigin_default
export_pathNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations, the description should disclose side effects, dependencies, or limitations. It only states the action but does not mention whether it creates a new graph or layer, modifies existing objects, or requires a specific state (e.g., open project). The import behavior and graph creation are vague.

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 description is a single concise sentence that quickly communicates the core purpose. It is front-loaded and wastes no words, though it could be more informative without losing brevity.

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

Completeness2/5

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

Given the high parameter count and many sibling plotting tools, the description is far too sparse. It does not cover the import mechanism, the required path parameter, or the output behavior. The existence of an output schema is not leveraged in the description.

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?

Schema description coverage is 0%, meaning the description adds no explanation for any of the 21 parameters. The description does not mention key parameters like path, x_col, y_cols, or any of the formatting options. With so many parameters, this is a critical gap.

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 that the tool imports table data and creates a column/bar-style graph. It provides a specific verb and resource, and distinguishes from sibling tools like origin_plot_bar (which likely uses already imported data) by implying data import. However, it does not explicitly mention the file import aspect or differentiate from origin_plot_column_stack.

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 offers no guidance on when to use this tool versus alternatives like origin_plot_bar or origin_import_csv+origin_plot_bar. There are no prerequisites, exclusions, or typical scenarios mentioned.

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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