Stop scrobbling — call when playback ends to record the watch
AI agents use scrobble_stop to create or update resources in Trakt MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Trakt MCP Server environment.
This tool records a watch event when playback ends, creating a new watch history record on Trakt.tv. It writes data (a completed watch entry) to the user's history, which is reversible (entries can be deleted). It does not execute code, delete data, or involve financial transactions.
From the tool's definition Stop scrobbling — call when playback ends to record the watch
Attacks that exploit this kind of access
Stop scrobbling — call when playback ends to record the watch. It is categorised as a Write tool in the Trakt MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Trakt MCP Server MCP server in PolicyLayer and add a rule for scrobble_stop: 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.
scrobble_stop 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 scrobble_stop 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 scrobble_stop. 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.
scrobble_stop 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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