batch_set_layer_property

Set the same property value on multiple layers in a single call.

SERVERAe SOURCE@synthetic-ai/ae-mcp

Medium RISK CLASS

Category Write

Parameters 73 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/batch-set-layer-property.md

WHAT IT DOES

What batch_set_layer_property does on Ae

AI agents use batch_set_layer_property 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	—
`value`	object	Yes	Value to set.
`compName`	string	Yes
`timeoutMs`	number	—
`layerNames`	array	—	Layer names to update. Omit to apply to all layers.
`projectPath`	string	—
`propertyPath`	array	Yes	Property path (match names).

Parameters from the server's own tool schema.

RISK

Why batch_set_layer_property is rated Medium

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

batch_set_layer_property Rate-limited

batch_set_layer_property 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": {
    "batch_set_layer_property": {
      "limits": [
        {
          "counter": "batch_set_layer_property_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 batch_set_layer_property call is checked against it from then on.

FAQ

Questions about batch_set_layer_property

What does the batch_set_layer_property tool do? +

Set the same property value on multiple layers in a single call. 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 batch_set_layer_property accept? +

batch_set_layer_property accepts 7 parameters: save, value, compName, timeoutMs, layerNames, projectPath, propertyPath. Required: value, compName, propertyPath. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on batch_set_layer_property? +

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

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

Can I rate-limit batch_set_layer_property? +

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

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

batch_set_layer_property 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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