Plan a group movie night by merging mood scans, provider availability, runtime fit, ratings, and avoided titles into a primary pick, backup pick, and wildcard
AI agents call plan_watch_party to retrieve information from Tmdb without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool aggregates and analyzes movie data (moods, provider availability, runtimes, ratings) to produce recommendations. It reads and synthesizes information from TMDB without creating, modifying, or deleting any data, and has no financial or destructive implications. The planning output is purely informational/advisory.
From the tool's definition Plan a group movie night by merging mood scans, provider availability, runtime fit, ratings, and avoided titles into a primary pick, backup pick, and wildcard
Documented attack patterns abuse exactly the kind of access plan_watch_party gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Tmdb, and nothing reaches the server without passing your rules. This is the rule we recommend for plan_watch_party:
{
"version": "1",
"default": "deny",
"tools": {
"plan_watch_party": {}
}
}plan_watch_party is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Plan a group movie night by merging mood scans, provider availability, runtime fit, ratings, and avoided titles into a primary pick, backup pick, and wildcard. It is categorised as a Read tool in the Tmdb MCP Server, which means it retrieves data without modifying state.
Register the Tmdb MCP server in PolicyLayer and add a rule for plan_watch_party: 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 Tmdb. Nothing to install.
plan_watch_party 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 plan_watch_party 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 plan_watch_party. 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.
plan_watch_party is provided by the Tmdb MCP server (laksh-star/mcp-server-tmdb). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Tmdb, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
24 Tmdb tools catalogued and risk-classified — across an index of 43,000+ MCP servers.