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youngminsw

Origin Pro MCP Server

by youngminsw

add_plot_to_graph

Add a new data series to an existing graph by specifying workbook, sheet, X and Y columns, and plot type. Optionally include error bars for Y values.

Instructions

Add another data series to an existing graph.

Args: graph_name: Existing graph name data_book: Source workbook name data_sheet: Source sheet name x_col: X column number (1-based) y_col: Y column number (1-based) plot_type: Plot type (scatter, line, line+symbol, etc.) y_error_col: Optional Y error column (1-based, 0=none)

Returns: Success message

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
graph_nameYes
data_bookYes
data_sheetYes
x_colYes
y_colYes
plot_typeNoscatter
y_error_colNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations provided, so description carries the burden. It explains parameters and returns a success message but does not disclose side effects, permission needs, or behavior on overwriting vs appending. Adequate but incomplete.

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?

Short introductory sentence followed by a clear, structured list of arguments. Every sentence is purposeful with no redundancy.

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

Completeness4/5

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

For a tool with 7 parameters and no annotations, the description covers parameters well but omits error handling details and output schema specifics (only says 'Success message'). Mostly complete.

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

Parameters5/5

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

Schema coverage is 0%, yet the description provides detailed explanations for each parameter: meaning of column numbers (1-based), optional error column (0=none), and plot_type options. This adds significant value beyond the schema.

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?

Description clearly states 'Add another data series to an existing graph', specifying the action and resource. It distinguishes from siblings like create_graph or add_arrow by focusing on data series addition.

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

Usage Guidelines4/5

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

The description implies usage for adding data to an existing graph but does not explicitly state when not to use or mention alternatives. The context is clear enough for an agent to decide.

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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