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origin_transpose_worksheet

Transpose worksheet rows into columns using an optional label column as new column headers, and write results to a new sheet if desired.

Instructions

Transpose a worksheet so rows become columns.

When label_column is given, that column's values become the new column headers; otherwise headers are R1, R2, .... The original column names become a leading "Field" column. Provide output_book/output_sheet to write to a new sheet instead of in place.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
label_columnNo
book_nameNo
sheet_nameNo
output_bookNo
output_sheetNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

Discloses transposition mechanics, label_column effect, and in-place vs new sheet behavior. However, with no annotations, it omits error handling, data type constraints, or uniqueness requirements for label_column. Adequate but not comprehensive.

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?

Two concise sentences followed by explanatory details. Every sentence adds value, no redundancy, and front-loaded with main purpose.

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

Completeness3/5

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

Covers transposition behavior and output options, but lacks detail on constraints (e.g., unique label_column), data type handling, or differentiation from similar sibling tools. Output schema exists, so return details are not needed.

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

Parameters3/5

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

Since schema description coverage is 0%, description adds meaning for label_column and output_book/sheet, but does not explain book_name or sheet_name. Partial improvement over schema alone.

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 'Transpose a worksheet so rows become columns' with specific verb and resource. It further explains the role of label_column and output options, distinguishing it from siblings like origin_melt_worksheet and origin_pivot_worksheet.

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?

Implied usage through description of behavior and output options, but no explicit when-to-use or when-not-to-use guidance compared to sibling tools. Lacks exclusions or alternatives.

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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