multiply_ad

SERVERHermoso SOURCEhttps://app.hermoso.ai/mcp

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade D, identity unverified Pull the record →

This record as markdown: /tools/hermoso/multiply-ad.md

WHAT IT DOES

What multiply_ad does on Hermoso

AI agents use multiply_ad to create or update resources in Hermoso, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Hermoso environment.

RISK

Why multiply_ad is rated Medium

An AI agent can call multiply_ad faster than any human can review: one bad instruction and it creates or modifies resources in Hermoso by the hundred, each call as confident as the last.

Risk signalsBulk/mass operation — affects multiple targets

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs multiply_ad safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Hermoso, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For multiply_ad, this is the rule to start with:

multiply_ad Rate-limited

multiply_ad stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "multiply_ad": {
      "limits": [
        {
          "counter": "multiply_ad_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Hermoso, apply this rule, and every multiply_ad call is checked against it from then on.

FAQ

Questions about multiply_ad

What does the multiply_ad tool do? +

MULTIPLY a winning video ad into N variants: each gets a NEW character, outfit, location and/or objects while the cut, the camera motion, the pacing and the ORIGINAL AUDIO stay exactly as they were (that is what made the ad work), and any burned-in captions are removed. Pass the source video URL (a previous render, a job result, list_library, or the top performer from post_performance / meta_insights). HOW: the source video itself DRIVES each variant (motion transfer from one image-edited opening frame), so every variant comes back the SAME LENGTH as the source with the same cut, the same performance and the original audio — only the person, outfit, set and props change. Sources up to 30 seconds work as they are; longer ones are refused for free with the way out (trim it first: post_edit with ops [{op:. It is categorised as a Write tool in the Hermoso MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on multiply_ad? +

Register the Hermoso MCP server in PolicyLayer and add a rule for multiply_ad: 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 Hermoso. Nothing to install.

What risk level is multiply_ad? +

multiply_ad is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit multiply_ad? +

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

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

multiply_ad is provided by the Hermoso MCP server (https://app.hermoso.ai/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

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