Edit an entire row in a Google Sheet
AI agents use edit_row to create or update resources in Google Sheets MCP — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Google Sheets MCP environment.
This tool modifies data in a spreadsheet but does not delete or destroy it. The changes are reversible (can be undone or edited again). While it affects data integrity, the impact is limited to row-level modifications within a single sheet. Severity is medium because misuse could corrupt important spreadsheet data, but the damage is recoverable and localized to the rows an agent chooses to modify.
From the tool's definition Tool name 'edit_row' and description 'Edit an entire row in a Google Sheet' indicate modification of existing data. The verb 'edit' is reversible and non-destructive.
Risk signalsBulk/mass operation — affects multiple targets
Attacks that exploit this kind of access
Edit an entire row in a Google Sheet. It is categorised as a Write tool in the Google Sheets MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Google Sheets MCP server in PolicyLayer and add a rule for edit_row: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Google Sheets MCP. Nothing to install.
edit_row is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the edit_row rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for edit_row. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
edit_row is provided by the Google Sheets MCP server (roelofvheeren/final-sheet-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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