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excel_get_data_validation_info

Read-only

Retrieve data validation rules for a specific cell in an Excel file. Provide the file path, sheet name, and cell address to obtain validation constraints.

Instructions

Get data validation rules for a cell

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
filePathYesPath to the Excel file
sheetNameYesName of the sheet
cellAddressYesCell address (e.g., A1)
responseFormatNojson
Behavior3/5

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

The description is consistent with the readOnlyHint annotation, confirming a read operation. However, it does not add further behavioral details such as error handling or performance implications.

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 single, direct sentence with no redundant information. It is efficiently front-loaded.

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?

The description omits details about the output format or possible error scenarios. Given the complexity of data validation rules, more context would be beneficial.

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?

The schema covers 75% of parameters with descriptions, so the description adds little beyond what the schema provides. The description mentions 'cell' but does not elaborate on parameter usage.

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 verb 'Get' and the resource 'data validation rules' for a specific target 'cell'. It effectively distinguishes this tool from sibling tools that handle reading/writing data or formatting.

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?

No explicit guidance is provided on when to use this tool versus alternatives or on prerequisites. The usage context is implied only through the tool name and description.

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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