Append text to the end of a Google Doc
AI agents use append_text to create or update resources in Google Docs MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Google Docs MCP Server environment.
This tool adds content to an existing Google Doc, which is a reversible write operation. It modifies a document by appending text but does not delete or overwrite existing content. Misuse could pollute documents with unwanted content, but the action is not irreversible as the appended text could be removed.
From the tool's definition Append text to the end of a Google Doc
Attacks that exploit this kind of access
Append text to the end of a Google Doc. It is categorised as a Write tool in the Google Docs MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Google Docs MCP Server MCP server in PolicyLayer and add a rule for append_text: 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 Docs MCP Server. Nothing to install.
append_text 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 append_text 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 append_text. 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.
append_text is provided by the Google Docs MCP Server MCP server (mackenzienolan/google-mcp-server). 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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