enable_time_remap

Enable time remapping on a layer and optionally set initial keyframes.

SERVERAe SOURCE@synthetic-ai/ae-mcp

Medium RISK CLASS

Category Write

Parameters 62 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/enable-time-remap.md

WHAT IT DOES

What enable_time_remap does on Ae

AI agents use enable_time_remap 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
`keyframes`	array	—	Optional [{time, value}] keyframes. time = composition time in seconds; value = source layer time in seconds to display at that point.
`layerName`	string	Yes
`timeoutMs`	number	—
`projectPath`	string	—

Parameters from the server's own tool schema.

RISK

Why enable_time_remap is rated Medium

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

enable_time_remap Rate-limited

enable_time_remap 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": {
    "enable_time_remap": {
      "limits": [
        {
          "counter": "enable_time_remap_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 enable_time_remap call is checked against it from then on.

FAQ

Questions about enable_time_remap

What does the enable_time_remap tool do? +

Enable time remapping on a layer and optionally set initial keyframes. 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 enable_time_remap accept? +

enable_time_remap accepts 6 parameters: save, compName, keyframes, layerName, timeoutMs, projectPath. Required: compName, layerName. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on enable_time_remap? +

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

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

Can I rate-limit enable_time_remap? +

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

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

enable_time_remap 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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