batch_set_transform
Set transform properties (position, scale, rotation, opacity, anchor point) across multiple layers in a comp, optionally filtered by name pattern.
This record as markdown: /tools/synthetic-ai-ae-mcp/batch-set-transform.md
What batch_set_transform does on Ae
AI agents use batch_set_transform 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 | — | |
scale | array | — | [x, y] or [x, y, z] in % |
opacity | number | — | Opacity 0-100 |
compName | string | Yes | |
position | array | — | [x, y] or [x, y, z] |
rotation | number | — | Rotation in degrees |
timeoutMs | number | — | |
anchorPoint | array | — | [x, y] or [x, y, z] |
projectPath | string | — | |
layerNamePattern | string | — | Substring to match layer names (empty = all layers) |
Parameters from the server's own tool schema.
Why batch_set_transform is rated Medium
An AI agent can call batch_set_transform 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.
Risk signalsHigh parameter count (10 properties)
Attacks that exploit this kind of access
The rule that runs batch_set_transform 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 batch_set_transform, this is the rule to start with:
batch_set_transform 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Ae, apply this rule, and every batch_set_transform call is checked against it from then on.
Questions about batch_set_transform
Set transform properties (position, scale, rotation, opacity, anchor point) across multiple layers in a comp, optionally filtered by name pattern. 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.
batch_set_transform accepts 10 parameters: save, scale, opacity, compName, position, rotation, timeoutMs, anchorPoint, projectPath, layerNamePattern. Required: compName. The full parameter table on this page comes from the server's own tool schema.
Register the Ae MCP server in PolicyLayer and add a rule for batch_set_transform: 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.
batch_set_transform is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the batch_set_transform 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.
Set action: deny in the PolicyLayer policy for batch_set_transform. 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.
batch_set_transform 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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