clone_layer_to_comp

Copy a layer from a source composition into a different target composition using copyToComp().

SERVERAe SOURCE@synthetic-ai/ae-mcp

Medium RISK CLASS

Category Write

Parameters 83 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/clone-layer-to-comp.md

WHAT IT DOES

What clone_layer_to_comp does on Ae

AI agents use clone_layer_to_comp 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
`save`	boolean	—
`layerName`	string	Yes
`timeoutMs`	number	—
`insertIndex`	number	—	1-based insert position (default 1 = top).
`projectPath`	string	—
`newLayerName`	string	—	Optional name for the new layer.
`sourceCompName`	string	Yes
`targetCompName`	string	Yes

Parameters from the server's own tool schema.

RISK

Why clone_layer_to_comp is rated Medium

An AI agent can call clone_layer_to_comp 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 clone_layer_to_comp 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 clone_layer_to_comp, this is the rule to start with:

clone_layer_to_comp Rate-limited

clone_layer_to_comp 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": {
    "clone_layer_to_comp": {
      "limits": [
        {
          "counter": "clone_layer_to_comp_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 clone_layer_to_comp call is checked against it from then on.

FAQ

Questions about clone_layer_to_comp

What does the clone_layer_to_comp tool do? +

Copy a layer from a source composition into a different target composition using copyToComp(). 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 clone_layer_to_comp accept? +

clone_layer_to_comp accepts 8 parameters: save, layerName, timeoutMs, insertIndex, projectPath, newLayerName, sourceCompName, targetCompName. Required: layerName, sourceCompName, targetCompName. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on clone_layer_to_comp? +

Register the Ae MCP server in PolicyLayer and add a rule for clone_layer_to_comp: 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 clone_layer_to_comp? +

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

Can I rate-limit clone_layer_to_comp? +

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

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

clone_layer_to_comp 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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