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origin_set_column_designations

Set worksheet column plot designations such as XYY or XY to define column roles for graphing.

Instructions

Set worksheet column plot designations, for example XYY or XY.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
specYes
book_nameNo
sheet_nameNo
c1No
c2No
repeatNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description carries full burden for behavioral disclosure. However, it only states the action without revealing side effects, error handling, or operational nuances like whether it modifies existing designations or requires a specific worksheet state.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

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

The description is a single sentence, which is concise, but it lacks structure and fails to front-load critical information. It covers the basic action but misses opportunity to organize additional useful details.

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

Completeness2/5

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

Given the tool has 6 parameters, no annotations, and no output schema description, the description is far from complete. It does not explain the return value, error conditions, or relationship to actual data preparation, leaving significant gaps for an AI agent.

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

Parameters1/5

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

Schema description coverage is 0% and the description does not explain any of the 6 parameters. The spec parameter format is implied by the example but not specified, and parameters like c1, c2, repeat are completely undocumented. This fails to add meaning beyond the raw 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?

The description clearly states the tool sets worksheet column plot designations, with examples 'XYY' or 'XY', which is a specific verb-resource combination. It distinguishes itself from sibling tools like origin_set_column_labels and origin_set_cell_value by focusing on plot designations.

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, no prerequisites, and no when-not-to-use conditions. It only states the basic action without context.

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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