Skip to main content
Glama
youngminsw

Origin Pro MCP Server

by youngminsw

set_column_properties

Set column properties like long name, units, comment, and designation in an Origin Pro workbook sheet.

Instructions

Set a column's long name, units, comment, and/or designation.

Args: book_name: Workbook name sheet_name: Sheet name col: Column (1-based) long_name: Long name (label row) units: Units (label row) comment: Comment (label row) designation: One of none, x, y, z, yerr, xerr, label (blank = leave)

Returns: Success message

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
book_nameYes
sheet_nameYes
colYes
long_nameNo
unitsNo
commentNo
designationNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

With no annotations, the description carries the full burden. It explains parameter defaults and that a blank designation leaves the field unchanged, but does not clarify whether empty strings clear other fields, whether changes are overwritten, error conditions, or authorization requirements. Adequate but not fully transparent.

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 a well-structured docstring with clear Args and Returns sections. Every sentence adds unique information, and the format is front-loaded with the core purpose. No extraneous content.

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?

Despite lacking usage guidelines, the description sufficiently covers the input parameters and return value for a simple setter tool. The output schema exists (though not shown), reducing the need to describe return format. The description is complete enough for an agent to use the tool correctly, but could benefit from a brief note on context (e.g., that it modifies an existing column).

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

Parameters4/5

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

Schema coverage is 0%, so the description adds substantial value by explaining each parameter: e.g., col is 1-based, designation lists valid options. However, terms like 'label row' for long_name and units are not elaborated, and the effect of empty string defaults for non-designation parameters is implied but not explicit.

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 it sets a column's long name, units, comment, and/or designation. The verb 'set' and resource 'column properties' are specific, and it distinguishes from siblings like set_column_formula and set_axis_labels.

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. It does not mention circumstances where other tools (e.g., set_column_formula) would be more appropriate, nor does it specify any prerequisites or restrictions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/youngminsw/Origin-Pro-MCP'

If you have feedback or need assistance with the MCP directory API, please join our Discord server