Mark movies or episodes as watched
AI agents use add_to_history 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 creates or updates a user's viewing history, which is reversible data modification. It does not execute arbitrary code, delete data irreversibly, involve financial transactions, or perform system-level operations. The impact is limited to personal entertainment tracking metadata.
From the tool's definition Tool name 'add_to_history' with description 'Mark movies or episodes as watched' indicates creating/modifying a watch history record.
Attacks that exploit this kind of access
Mark movies or episodes as watched. 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 add_to_history: 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.
add_to_history 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 add_to_history 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 add_to_history. 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.
add_to_history 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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