AI agents use replace_named_range_content to create or update resources in Google — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Google environment.
This tool modifies Google Docs content by replacing text within a named range. This is a reversible operation (can be undone or overwritten), making it Write rather than Destructive. The severity is medium because misuse could corrupt document templates or overwrite important content, but the operation remains reversible and doesn't permanently delete data or execute arbitrary code.
From the tool's definition Tool performs 'Replace the content of a named range in a Google Doc' — this modifies document content reversibly. The description explicitly states it replaces content, which is a Write operation.
Attacks that exploit this kind of access
Replace the content of a named range in a Google Doc (useful for templates). It is categorised as a Write tool in the Google MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Google MCP server in PolicyLayer and add a rule for replace_named_range_content: 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. Nothing to install.
replace_named_range_content 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 replace_named_range_content 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 replace_named_range_content. 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.
replace_named_range_content is provided by the Google MCP server (ztgluis/google-mcp). 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.
Teams ship this data inside their own products. See what a licence covers →