add_to_timeline_batch
Places MANY clips onto one sequence in a single round-trip — the fast path for rebuilding a whole edit (e.g. a Descript/EDL stringout). Equivalent to calling add_to_timeline (overwrite) once per clip, but ~50x faster because it loops inside one ExtendScript pass instead of one file round-trip per...
This record as markdown: /tools/adobe-premiere-pro-mcp/add-to-timeline-batch.md
What add_to_timeline_batch does on Adobe Premiere Pro
AI agents use add_to_timeline_batch to create or update resources in Adobe Premiere Pro, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Adobe Premiere Pro environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
clips | array | Yes | Ordered list of clips to place. All use overwrite mode. |
sequenceId | string | Yes | The ID of the sequence (timeline) to add clips to |
Parameters from the server's own tool schema.
Why add_to_timeline_batch is rated Medium
An AI agent can call add_to_timeline_batch faster than any human can review: one bad instruction and it creates or modifies resources in Adobe Premiere Pro by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
The rule that runs add_to_timeline_batch safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Adobe Premiere Pro, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For add_to_timeline_batch, this is the rule to start with:
add_to_timeline_batch 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 Adobe Premiere Pro, apply this rule, and every add_to_timeline_batch call is checked against it from then on.
Questions about add_to_timeline_batch
Places MANY clips onto one sequence in a single round-trip — the fast path for rebuilding a whole edit (e.g. a Descript/EDL stringout). Equivalent to calling add_to_timeline (overwrite) once per clip, but ~50x faster because it loops inside one ExtendScript pass instead of one file round-trip per clip. Each clip supports per-clip linkAudio and sourceInPoint/sourceOutPoint (Source-monitor in/out). Returns a per-clip result array so one bad clip does not sink the batch, plus an aggregate status: top-level success is true ONLY when every clip placed; status is "success" | "partial" | "failure" with placed/failed/total counts. It is categorised as a Write tool in the Adobe Premiere Pro MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
add_to_timeline_batch accepts 2 parameters: clips, sequenceId. Required: clips, sequenceId. The full parameter table on this page comes from the server's own tool schema.
Register the Adobe Premiere Pro MCP server in PolicyLayer and add a rule for add_to_timeline_batch: 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 Adobe Premiere Pro. Nothing to install.
add_to_timeline_batch 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 add_to_timeline_batch 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 add_to_timeline_batch. 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.
add_to_timeline_batch is provided by the Adobe Premiere Pro MCP server (adobe-premiere-pro-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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