interpret_footage

Update common footage interpretation settings such as alpha mode, conform frame rate, and loop count.

SERVERAe SOURCE@synthetic-ai/ae-mcp

Medium RISK CLASS

Category Write

Parameters 71 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/interpret-footage.md

WHAT IT DOES

What interpret_footage does on Ae

AI agents use interpret_footage 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
`loop`	number	—	Optional loop count.
`save`	boolean	—	Save the project after updating. Defaults to false.
`itemName`	string	Yes	Footage item name.
`alphaMode`	string	—	ignore, straight, premultiplied, or guess.
`timeoutMs`	number	—	Process timeout in milliseconds. Defaults to 120000.
`projectPath`	string	—	Optional absolute path to an .aep file to open first.
`conformFrameRate`	number	—	Optional conform frame rate.

Parameters from the server's own tool schema.

RISK

Why interpret_footage is rated Medium

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

interpret_footage Rate-limited

interpret_footage 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": {
    "interpret_footage": {
      "limits": [
        {
          "counter": "interpret_footage_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 interpret_footage call is checked against it from then on.

FAQ

Questions about interpret_footage

What does the interpret_footage tool do? +

Update common footage interpretation settings such as alpha mode, conform frame rate, and loop count. 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 interpret_footage accept? +

interpret_footage accepts 7 parameters: loop, save, itemName, alphaMode, timeoutMs, projectPath, conformFrameRate. Required: itemName. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on interpret_footage? +

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

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

Can I rate-limit interpret_footage? +

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

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

interpret_footage 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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