Generate a ranked movie shortlist for a weekend watch session using mood, country, language, runtime, rating, and streaming services
AI agents call get_weekend_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.
The tool retrieves movie recommendations and formats them according to user preferences. It has no side effects on the TMDB database or any external systems—it only reads and returns data. Even though it generates a curated list, the underlying operation is a query/retrieval with no reversible or irreversible modifications.
From the tool's definition Tool generates and returns a ranked movie shortlist based on filter parameters (mood, country, language, runtime, rating, streaming services).
Documented attack patterns abuse exactly the kind of access get_weekend_watchlist 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 get_weekend_watchlist:
{
"version": "1",
"default": "deny",
"tools": {
"get_weekend_watchlist": {}
}
} get_weekend_watchlist is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Generate a ranked movie shortlist for a weekend watch session using mood, country, language, runtime, rating, and streaming services. 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 get_weekend_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.
get_weekend_watchlist 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 get_weekend_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.
Set action: deny in the PolicyLayer policy for get_weekend_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.
get_weekend_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.
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.