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youngminsw

Origin Pro MCP Server

by youngminsw

apply_publication_style

Apply complete publication styling to a graph in one call, including bold labels, pastel colors, and optimized ticks, to produce ready-to-publish figures.

Instructions

Apply complete publication styling to a graph in ONE call.

Sets bold Arial labels, a muted pastel color palette, 2.5 pt lines, readable tick spacing, inward ticks, closed frame, and a borderless bold legend all at once. Designed to minimize token usage — call this once instead of many separate tools.

Args: graph_name: Graph name x_label: X axis label with units, e.g. "Temperature (K)" y_label: Y axis label with units, e.g. "Absorbance (a.u.)" x_min: X axis minimum (None=auto) x_max: X axis maximum (None=auto) y_min: Y axis minimum (None=auto) y_max: Y axis maximum (None=auto) legend_entries: Comma-separated legend entries, e.g. "Sample A,Sample B" legend_position: top-left, top-right, bottom-left, bottom-right

Returns: Summary of applied styling

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
graph_nameYes
x_labelNo
y_labelNo
x_minNo
x_maxNo
y_minNo
y_maxNo
legend_entriesNo
legend_positionNotop-right

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations are provided, so the description carries full burden. It explains the tool applies a complete set of styles but does not explicitly state whether it overwrites existing styles, what side effects occur, or any prerequisites. The behavioral description is 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.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured with a bold summary, bullet-like styling list, and an Args section. It is front-loaded with the main purpose and each sentence adds value, though slightly verbose.

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

Completeness5/5

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

Given the complexity (9 parameters, no schema descriptions or annotations, but with an output schema), the description is highly complete: it explains the tool's purpose, efficiency benefit, all parameters with guidance, and return value. The output schema covers return details, so no further explanation needed.

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 description coverage is 0%, but the description's Args section details each parameter with examples and default behaviors (e.g., 'None=auto' for min/max, 'e.g. Sample A,Sample B' for legend_entries). This fully compensates for the missing schema descriptions.

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 applies complete publication styling to a graph in one call, listing specific styling elements (bold Arial labels, muted palette, etc.) and explicitly distinguishes from sibling tools by noting it replaces many separate calls.

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 explicitly says 'Designed to minimize token usage — call this instead of many separate tools', providing clear when-to-use guidance and implying alternatives (the individual styling tools). It does not explicitly list when not to use, but the guidance is sufficient.

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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