delete_message

Delete a specific message.

Server Unipile sundeepg98/mcp-server-unipile
Category Destructive
Risk class Critical
Parameters 00 required

What delete_message does on Unipile

AI agents call delete_message to permanently remove resources in Unipile — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.

Why delete_message needs a policy

An AI agent that decides to call delete_message doesn't hesitate, doesn't double-check, and doesn't stop at one. Whatever it removes from Unipile is gone — there is no undo for destructive operations.

Questions about delete_message

What does the delete_message tool do? +

Delete a specific message. It is categorised as a Destructive tool in the Unipile MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.

How do I enforce a policy on delete_message? +

Register the Unipile MCP server in PolicyLayer and add a rule for delete_message: 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 Unipile. Nothing to install.

What risk level is delete_message? +

delete_message is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.

Can I rate-limit delete_message? +

Yes. Add a rate_limit block to the delete_message 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.

How do I block delete_message completely? +

Set action: deny in the PolicyLayer policy for delete_message. 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.

What MCP server provides delete_message? +

delete_message is provided by the Unipile MCP server (sundeepg98/mcp-server-unipile). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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