Renames an existing sheet.
AI agents use rename_sheet to create or update resources in Google Sheets MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Google Sheets MCP Server environment.
Renaming a sheet is a reversible write operation that modifies spreadsheet structure and metadata without deleting data or executing arbitrary code. The change can be undone by renaming again.
From the tool's definition Tool description states it 'Renames an existing sheet' — a modification operation that changes metadata of a spreadsheet resource.
Attacks that exploit this kind of access
Renames an existing sheet. It is categorised as a Write tool in the Google Sheets MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Google Sheets MCP Server MCP server in PolicyLayer and add a rule for rename_sheet: 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 Server. Nothing to install.
rename_sheet 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 rename_sheet 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 rename_sheet. 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.
rename_sheet is provided by the Google Sheets MCP Server MCP server (santiagopereda/mcp_googlesheets). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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