Low Risk

build_release_calendar_watchlist

Build a release-window watchlist with upcoming movies, provider-ready picks, broad-room baselines, and watch-later scoring

How to control build_release_calendar_watchlist ↓

What build_release_calendar_watchlist does on Tmdb

AI agents call build_release_calendar_watchlist 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.

Low Risk

Why build_release_calendar_watchlist needs a policy

This tool retrieves and aggregates movie release and availability data from TMDB to build a watchlist. It queries upcoming release windows, provider availability, and scores movies for watch priority — all read/query operations with no side effects on external systems. The word 'build' refers to assembling an informational output, not creating persistent data.

From the tool's definition Build a release-window watchlist with upcoming movies, provider-ready picks, broad-room baselines, and watch-later scoring

Documented attack patterns abuse exactly the kind of access build_release_calendar_watchlist gives an agent:

How to control build_release_calendar_watchlist

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 build_release_calendar_watchlist:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "build_release_calendar_watchlist": {}
  }
}

build_release_calendar_watchlist is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Tmdb — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about build_release_calendar_watchlist

What does the build_release_calendar_watchlist tool do? +

Build a release-window watchlist with upcoming movies, provider-ready picks, broad-room baselines, and watch-later scoring. It is categorised as a Read tool in the Tmdb MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on build_release_calendar_watchlist? +

Register the Tmdb MCP server in PolicyLayer and add a rule for build_release_calendar_watchlist: 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.

What risk level is build_release_calendar_watchlist? +

build_release_calendar_watchlist is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit build_release_calendar_watchlist? +

Yes. Add a rate_limit block to the build_release_calendar_watchlist 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.

How do I block build_release_calendar_watchlist completely? +

Set action: deny in the PolicyLayer policy for build_release_calendar_watchlist. 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.

What MCP server provides build_release_calendar_watchlist? +

build_release_calendar_watchlist 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.

Enforce policy on every Tmdb tool call.

Start from Tmdb, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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24 Tmdb tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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