Low Risk

build_collection_gap_plan

Build a franchise completion plan by comparing watched titles or TMDB IDs against a collection, with missing entries, remaining runtime, provider availability, and a recommended completion path

How to control build_collection_gap_plan ↓

What build_collection_gap_plan does on Tmdb

AI agents call build_collection_gap_plan 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_collection_gap_plan needs a policy

This tool queries TMDB data to analyze a user's watch history against a collection and returns informational results (missing entries, runtime, availability, completion path). It retrieves and compares data with no side effects, writes, or destructive actions.

From the tool's definition 'Build a franchise completion plan by comparing watched titles or TMDB IDs against a collection, with missing entries, remaining runtime, provider availability, and a recommended completion path'

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

How to control build_collection_gap_plan

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_collection_gap_plan:

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

build_collection_gap_plan 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_collection_gap_plan

What does the build_collection_gap_plan tool do? +

Build a franchise completion plan by comparing watched titles or TMDB IDs against a collection, with missing entries, remaining runtime, provider availability, and a recommended completion path. 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_collection_gap_plan? +

Register the Tmdb MCP server in PolicyLayer and add a rule for build_collection_gap_plan: 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_collection_gap_plan? +

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

Can I rate-limit build_collection_gap_plan? +

Yes. Add a rate_limit block to the build_collection_gap_plan 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_collection_gap_plan completely? +

Set action: deny in the PolicyLayer policy for build_collection_gap_plan. 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_collection_gap_plan? +

build_collection_gap_plan 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.

Free to start. No card required.

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

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