AI agents call fetch_user_watched_shows to retrieve information from Trakt without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves a user's watched shows history from Trakt—a query operation with no side effects, no data modification, and no code execution. Although the description is empty, the name and server context provide sufficient evidence that this is a pure Read operation. Blast radius is minimal: misuse would only expose personal viewing data already owned by the authenticated user.
From the tool's definition Tool name 'fetch_user_watched_shows' and server context (Trakt.tv API bridge for 'accessing real-time entertainment data and personal Trakt viewing history') indicate data retrieval.
Documented attack patterns abuse exactly the kind of access fetch_user_watched_shows 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 fetch_user_watched_shows:
{
"version": "1",
"default": "deny",
"tools": {
"fetch_user_watched_shows": {}
}
}fetch_user_watched_shows is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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fetch_user_watched_shows. It is categorised as a Read tool in the Trakt MCP Server, which means it retrieves data without modifying state.
Register the Trakt MCP server in PolicyLayer and add a rule for fetch_user_watched_shows: 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.
fetch_user_watched_shows is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the fetch_user_watched_shows 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 fetch_user_watched_shows. 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.
fetch_user_watched_shows 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.
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77 Trakt tools catalogued and risk-classified — across an index of 42,500+ MCP servers.