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excel_data_validation

Apply data validation rules to Excel ranges to restrict input types, ensure data accuracy, and maintain spreadsheet integrity for financial workflows.

Instructions

Add data validation to a range

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
worksheetNameYes
rangeYes
validationYes
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. 'Add data validation' implies a write/mutation operation, but the description doesn't specify permissions needed, whether changes are reversible, potential side effects on existing data, or error handling. It lacks critical context for safe use.

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 zero wasted words. It's front-loaded with the core action and resource, making it highly efficient and easy to parse quickly.

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 complexity (3 parameters with a nested object, 0% schema coverage, no annotations, no output schema), the description is inadequate. It doesn't explain the validation object's structure, expected return values, or behavioral traits like error conditions. For a mutation tool with rich parameters, this leaves too much undefined.

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?

The schema description coverage is 0%, meaning none of the 3 parameters (worksheetName, range, validation) are documented in the schema. The description adds no semantic information about these parameters—it doesn't explain what 'validation' object contains, how 'range' should be formatted, or what 'worksheetName' refers to. This fails to compensate for the schema gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Add') and resource ('data validation to a range'), making the purpose immediately understandable. However, it doesn't differentiate this tool from sibling tools like 'excel_conditional_formatting' or 'excel_validate_formulas', which also modify Excel worksheets in different ways, so it doesn't achieve full sibling differentiation.

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. It doesn't mention prerequisites (e.g., needing an open workbook), exclusions, or compare it to related sibling tools like 'excel_conditional_formatting' for visual rules or 'excel_validate_formulas' for formula checking.

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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