Remove movies, shows, or episodes from the watchlist
AI agents call remove_from_watchlist to permanently remove resources in Trakt MCP Server — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Removing items from a watchlist is an irreversible deletion of user data (the watchlist entry). While the blast radius is moderate (limited to watchlist entries rather than critical data), the action cannot be undone without manually re-adding each item, making it Destructive rather than Write.
From the tool's definition "Remove movies, shows, or episodes from the watchlist"
Attacks that exploit this kind of access
Remove movies, shows, or episodes from the watchlist. It is categorised as a Destructive tool in the Trakt MCP Server MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Trakt MCP Server MCP server in PolicyLayer and add a rule for remove_from_watchlist: 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 Trakt MCP Server. Nothing to install.
remove_from_watchlist 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 remove_from_watchlist 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 remove_from_watchlist. 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.
remove_from_watchlist is provided by the Trakt MCP Server MCP server (kud/mcp-trakt). 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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