batch_rename_layers
Rename multiple layers using a pattern, find-and-replace, or a numeric sequence.
This record as markdown: /tools/synthetic-ai-ae-mcp/batch-rename-layers.md
What batch_rename_layers does on Ae
AI agents use batch_rename_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 |
|---|---|---|---|
find | string | — | String to find (for replace mode). |
mode | string | Yes | replace | prefix | suffix | sequence. replace requires find+replacement. sequence renames to baseName+index. |
save | boolean | — | |
baseName | string | — | Base name for sequence mode or prefix/suffix mode. |
compName | string | Yes | |
timeoutMs | number | — | |
layerNames | array | — | Optional subset of layers. Omit to apply to all. |
projectPath | string | — | |
replacement | string | — | Replacement string (for replace mode). |
Parameters from the server's own tool schema.
Why batch_rename_layers is rated Medium
An AI agent can call batch_rename_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.
Risk signalsBulk/mass operation — affects multiple targets
Attacks that exploit this kind of access
The rule that runs batch_rename_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 batch_rename_layers, this is the rule to start with:
batch_rename_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.
The button opens the PolicyLayer dashboard: create your workspace, connect Ae, apply this rule, and every batch_rename_layers call is checked against it from then on.
Questions about batch_rename_layers
Rename multiple layers using a pattern, find-and-replace, or a numeric sequence. 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_rename_layers accepts 9 parameters: find, mode, save, baseName, compName, timeoutMs, layerNames, projectPath, replacement. Required: mode, 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_rename_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.
batch_rename_layers 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_rename_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.
Set action: deny in the PolicyLayer policy for batch_rename_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.
batch_rename_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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