import_placeholder

Create a placeholder footage item.

SERVERAe SOURCE@synthetic-ai/ae-mcp

Medium RISK CLASS

Category Write

Parameters 81 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/synthetic-ai-ae-mcp/import-placeholder.md

WHAT IT DOES

What import_placeholder does on Ae

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

Parameter	Type	Required	Description
`name`	string	Yes	Placeholder name.
`save`	boolean	—	Save the project after creating. Defaults to false.
`width`	number	—	Width in pixels. Defaults to 1920.
`height`	number	—	Height in pixels. Defaults to 1080.
`duration`	number	—	Duration in seconds. Defaults to 10.
`frameRate`	number	—	Frame rate. Defaults to 30.
`timeoutMs`	number	—	Process timeout in milliseconds. Defaults to 120000.
`projectPath`	string	—	Optional absolute path to an .aep file to open first.

Parameters from the server's own tool schema.

RISK

Why import_placeholder is rated Medium

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

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs import_placeholder safely

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

import_placeholder Rate-limited

import_placeholder 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": {
    "import_placeholder": {
      "limits": [
        {
          "counter": "import_placeholder_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 Ae, apply this rule, and every import_placeholder call is checked against it from then on.

FAQ

Questions about import_placeholder

What does the import_placeholder tool do? +

Create a placeholder footage item. It is categorised as a Write tool in the Ae MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does import_placeholder accept? +

import_placeholder accepts 8 parameters: name, save, width, height, duration, frameRate, timeoutMs, projectPath. Required: name. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on import_placeholder? +

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

What risk level is import_placeholder? +

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

Can I rate-limit import_placeholder? +

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

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

import_placeholder is provided by the Ae MCP server (@synthetic-ai/ae-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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