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shakhin85

Google Sheets MCP Server

by shakhin85

set_data_validation

Apply data validation rules to spreadsheet cells, such as dropdown lists, number ranges, and text constraints. Define criteria to restrict input and ensure data consistency.

Instructions

Set data validation rules for cells (e.g., dropdown lists, number ranges)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
strictNoWhether to reject invalid input
valuesNoList of valid values (for ONE_OF_LIST)
end_rowYesEnding row index (exclusive)
sheet_idYesThe ID of the sheet
max_valueNoMaximum value (for NUMBER_LESS, NUMBER_BETWEEN, DATE_BETWEEN)
min_valueNoMinimum value (for NUMBER_GREATER, NUMBER_BETWEEN, DATE_BETWEEN)
start_rowYesStarting row index (0-based)
end_columnYesEnding column index (exclusive)
start_columnYesStarting column index (0-based)
show_dropdownNoWhether to show dropdown for list validation
spreadsheet_idYesThe ID of the spreadsheet
validation_typeYesType of validation
Behavior2/5

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

Without any annotations, the description must disclose behavioral traits. It only states the core function without mentioning side effects (e.g., overwriting existing rules), required permissions, or error conditions. This is insufficient for safe usage.

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 concise sentence that efficiently conveys the tool's purpose with examples. No unnecessary words or repetition.

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?

Despite having 12 parameters, no output schema, and no annotations, the description provides only a high-level summary. It does not explain return behavior, error cases, or the effect on existing validation rules, leaving significant gaps.

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 input schema already provides complete descriptions for all 12 parameters (100% coverage). The description adds no additional meaning beyond the schema, meeting the baseline expectation but not exceeding it.

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 action (set), the resource (data validation rules for cells), and gives illustrative examples (dropdown lists, number ranges). It is specific and distinct from sibling tools, which focus on other spreadsheet operations.

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 guidance is provided on when to use this tool versus alternatives, prerequisites, or when not to use it. The agent receives no help in deciding between this and other tools for similar tasks.

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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