MCP tool: unhide a movie to restore it in recommendations.
AI agents use unhide_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 reverses a previously hidden state for a movie recommendation, restoring it in the recommendations list. It modifies user preference data (reversibly, since it undoes a hide action) without deleting anything permanently. The blast radius is minimal — it only affects the user's personal recommendation visibility.
From the tool's definition unhide a movie to restore it in recommendations
Documented attack patterns abuse exactly the kind of access unhide_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 unhide_movie_recommendation:
{
"version": "1",
"default": "deny",
"tools": {
"unhide_movie_recommendation": {
"limits": [
{
"counter": "unhide_movie_recommendation_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}unhide_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.
Free to start. No card required.
MCP tool: unhide a movie to restore it in 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 unhide_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.
unhide_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 unhide_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 unhide_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.
unhide_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.