AI agents call delete_tweet to permanently remove resources in Twikit — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Deleting a tweet is an irreversible action that removes content from the user's account and potentially from public view. An AI agent misusing this tool could delete important tweets, causing loss of communication history, public statements, or business records that cannot be recovered. The blast radius is high for users who value their tweet archive.
From the tool's definition delete_tweet performs deletion by ID. The verb 'delete' indicates irreversible removal of data. The sibling tools on this server include other destructive operations (delete_bookmark, delete_dm, delete_retweet, delete_scheduled_tweet), reinforcing the…
Documented attack patterns abuse exactly the kind of access delete_tweet gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Twikit, and nothing reaches the server without passing your rules. This is the rule we recommend for delete_tweet:
{
"version": "1",
"default": "deny",
"hide": [
"delete_tweet"
]
}delete_tweet disappears from the agent's tool list entirely, and any attempt to call it is denied. The rest of the server keeps working.
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Delete a tweet by ID. It is categorised as a Destructive tool in the Twikit MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Twikit MCP server in PolicyLayer and add a rule for delete_tweet: 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 Twikit. Nothing to install.
delete_tweet 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 delete_tweet 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 delete_tweet. 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.
delete_tweet is provided by the Twikit MCP server (tangivis/twitter-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Twikit, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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59 Twikit tools catalogued and risk-classified — across an index of 43,000+ MCP servers.