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youngminsw

Origin Pro MCP Server

by youngminsw

get_matrix_data

Retrieve a matrix from Origin Pro as JSON. Access matrix data from a specified book to get rows with null for empty cells.

Instructions

Read a matrix back as JSON.

Args: book_name: Matrix book name

Returns: JSON object {"rows": [[...], ...]}; empty cells are null

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
book_nameYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

The description mentions the return format and that empty cells are null, but lacks explicit statements about read-only behavior, side effects, or safety. Since no annotations are provided, the description partially covers behavioral transparency but not fully.

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 and front-loaded with the purpose, then structured with args and returns. It is efficient but not overly brief, earning its place without unnecessary fluff.

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?

Given the tool's simplicity (1 param, read-only, output schema exists), the description covers the essential aspects: what it does, the input parameter, and the output structure. It lacks error handling details but is otherwise complete for typical use.

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?

The description includes an 'Args' section with 'book_name: Matrix book name', adding meaningful clarification beyond the bare input schema, which had 0% description coverage. This compensates well for the schema gap.

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 'Read a matrix back as JSON', providing a specific verb and resource, and implicitly distinguishes from sibling tools like set_matrix_data (write) and create_matrix (create).

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 does not provide any guidance on when to use this tool versus alternatives, such as get_worksheet_data or other retrieval tools, leaving the agent without context for selection.

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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