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origin_plot_dual_y

Import table data and create a double-Y axis graph with left and right Y axes sharing one X axis. Choose from line, scatter, line_symbol, or column plot types.

Instructions

Import table data and create a double-Y (two Y axes) graph.

y1_cols are plotted against the left Y axis (layer 1) and y2_cols against the right Y axis (layer 2), sharing one X axis. Both lists are required. plot_type is "line", "scatter", "line_symbol", or "column".

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathYes
x_colNo
y1_colsNo
y2_colsNo
book_nameNo
sheet_nameNo
excel_sheetNo
delimiterNo
encodingNo
headerNo
skiprowsNo
nrowsNo
na_valuesNo
graph_nameNo
titleNo
x_labelNo
y1_labelNo
y2_labelNo
plot_typeNoline
style_modeNoorigin_default
export_pathNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations provided. The description states the tool imports table data and creates a graph, implying it opens Origin and may export if export_path is set, but it does not disclose potential side effects, required permissions, or performance characteristics. The statement 'Both lists are required' is a useful constraint but overall transparency is limited.

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 concise (two sentences plus a list of plot types) and front-loads the core action. However, it could be better structured by grouping parameters or using bullet points.

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?

The tool has 21 parameters and an output schema (not shown), but the description covers only three parameters. It fails to explain the data import parameters (path, delimiter, header, etc.) and the return value. For a complex tool, this is insufficient.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must compensate. However, it only explains y1_cols, y2_cols, and plot_type, leaving 18 other parameters (e.g., path, x_col, book_name, delimiter) undocumented. The description adds minimal meaning beyond the schema for most parameters.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool imports table data and creates a double-Y graph, specifying that y1_cols map to left Y axis and y2_cols to right Y axis. It also lists valid plot_type values. This distinguishes it from single-Y siblings like origin_plot.

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 mentions that both y1_cols and y2_cols are required and lists plot_type options, but does not provide explicit guidance on when to use this tool versus alternatives (e.g., origin_plot for single Y). No when-not-to-use or prerequisite information is given.

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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