precompose_layers

Precompose selected layers into a new composition.

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/precompose-layers.md

WHAT IT DOES

What precompose_layers does on Ae

AI agents use precompose_layers 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	—
`compName`	string	Yes
`timeoutMs`	number	—
`layerNames`	array	—	Layer names to precompose.
`newCompName`	string	—	Name for the new precomp. Defaults to 'Precomp 1'.
`projectPath`	string	—
`layerIndices`	array	—	Layer indices to precompose (1-based).
`moveAllAttributes`	boolean	—	Move all attributes into the new comp. Defaults to true.

Parameters from the server's own tool schema.

RISK

Why precompose_layers is rated Medium

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

precompose_layers Rate-limited

precompose_layers 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": {
    "precompose_layers": {
      "limits": [
        {
          "counter": "precompose_layers_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 precompose_layers call is checked against it from then on.

FAQ

Questions about precompose_layers

What does the precompose_layers tool do? +

Precompose selected layers into a new composition. 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 precompose_layers accept? +

precompose_layers accepts 8 parameters: save, compName, timeoutMs, layerNames, newCompName, projectPath, layerIndices, moveAllAttributes. Required: compName. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on precompose_layers? +

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

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

Can I rate-limit precompose_layers? +

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

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

precompose_layers 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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