AI agents call fetch_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.
The tool name and pattern establish this as a Read operation—fetching and retrieving the user's watched shows history from Trakt.tv. No side effects, modifications, or destructive actions are implied. The 'fetch' prefix consistently indicates query/retrieval across the tool set.
From the tool's definition Tool name 'fetch_watched_shows' indicates a retrieval operation. The server description states it accesses 'real-time entertainment data and personal Trakt viewing history.' Sibling tools like 'fetch_anticipated_movies', 'fetch_anticipated_shows', and…
Documented attack patterns abuse exactly the kind of access fetch_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_watched_shows:
{
"version": "1",
"default": "deny",
"tools": {
"fetch_watched_shows": {}
}
}fetch_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_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_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_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_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_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_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.