analyze_ad_videos_batch

WHAT IT DOES

What analyze_ad_videos_batch does on Facebook Ads Library MCP Server

AI agents invoke analyze_ad_videos_batch to trigger actions in Facebook Ads Library MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

WHY IT NEEDS A POLICY

Why analyze_ad_videos_batch needs a policy

This tool performs external operations by downloading videos from Facebook and invoking an external AI model (Gemini) for analysis. It is not a pure read (it downloads and processes), not purely destructive or financial. It falls under Execute as it triggers dependent external operations whose effects depend on the input arguments.

From the tool's definition 'Download and analyze multiple ad videos using Gemini' — triggers external operations: downloading media and running AI analysis via Gemini

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

analyze_ad_videos_batch Rate-limited

analyze_ad_videos_batch stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "analyze_ad_videos_batch": {
      "limits": [
        {
          "counter": "analyze_ad_videos_batch_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Facebook Ads Library MCP Server, so you can run agents against it safely.

FAQ

Questions about analyze_ad_videos_batch

What does the analyze_ad_videos_batch tool do? +

REQUIRED for batch analyzing multiple video ads from Facebook for maximum token efficiency. Download and analyze multiple ad videos using Gemini. It is categorised as a Execute tool in the Facebook Ads Library MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on analyze_ad_videos_batch? +

Register the Facebook Ads Library MCP Server MCP server in PolicyLayer and add a rule for analyze_ad_videos_batch: 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 Facebook Ads Library MCP Server. Nothing to install.

What risk level is analyze_ad_videos_batch? +

analyze_ad_videos_batch is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit analyze_ad_videos_batch? +

Yes. Add a rate_limit block to the analyze_ad_videos_batch 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 analyze_ad_videos_batch completely? +

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

analyze_ad_videos_batch is provided by the Facebook Ads Library MCP Server MCP server (proxy-intell/facebook-ads-library-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.