MCP tool: hide a movie from future recommendations.
AI agents use hide_movie_recommendation to create or update resources in Trakt — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Trakt environment.
This tool modifies the user's recommendation preferences by hiding a movie, which is a reversible write operation. It creates/updates a filter setting rather than deleting content, and the blast radius is minimal as it only affects future movie recommendations for the user.
From the tool's definition hide a movie from future recommendations
Documented attack patterns abuse exactly the kind of access hide_movie_recommendation gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Trakt, and nothing reaches the server without passing your rules. This is the rule we recommend for hide_movie_recommendation:
{
"version": "1",
"default": "deny",
"tools": {
"hide_movie_recommendation": {
"limits": [
{
"counter": "hide_movie_recommendation_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}hide_movie_recommendation stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
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MCP tool: hide a movie from future recommendations. It is categorised as a Write tool in the Trakt MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Trakt MCP server in PolicyLayer and add a rule for hide_movie_recommendation: 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. Nothing to install.
hide_movie_recommendation 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 hide_movie_recommendation 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 hide_movie_recommendation. 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.
hide_movie_recommendation is provided by the Trakt MCP server (wwiens/trakt_mcpserver). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 77 Trakt tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
77 Trakt tools catalogued and risk-classified — across an index of 42,500+ MCP servers.