Remove bullets or numbering from paragraphs in a range.
AI agents call gdoc_delete_bullets to permanently remove resources in Google Docs — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
This tool removes formatting (bullets/numbering) from paragraphs, which is a destructive operation on document structure. While it doesn't delete the paragraph text itself, removing list formatting may be difficult to undo programmatically and constitutes an irreversible modification of document structure. Severity is medium as it affects formatting rather than core content.
From the tool's definition 'Remove bullets or numbering from paragraphs in a range' — the word 'Remove' indicates an irreversible deletion of formatting from document content
Attacks that exploit this kind of access
Remove bullets or numbering from paragraphs in a range. It is categorised as a Destructive tool in the Google Docs MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Google Docs MCP server in PolicyLayer and add a rule for gdoc_delete_bullets: 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. Nothing to install.
gdoc_delete_bullets is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the gdoc_delete_bullets 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 gdoc_delete_bullets. 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.
gdoc_delete_bullets is provided by the Google Docs MCP server (node2flow-th/google-docs-mcp-community). 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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