plan_vlog_edit
Build a non-mutating Vlog rough-cut proposal with hook, setup, journey, payoff, and outro sections using source subclips and factual asset annotations.
This record as markdown: /tools/cutpilot/plan-vlog-edit.md
What plan_vlog_edit does on Cutpilot
AI agents use plan_vlog_edit to create or update resources in Cutpilot, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Cutpilot environment.
Why plan_vlog_edit is rated Medium
An AI agent can call plan_vlog_edit faster than any human can review: one bad instruction and it creates or modifies resources in Cutpilot by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
The rule that runs plan_vlog_edit safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Cutpilot, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For plan_vlog_edit, this is the rule to start with:
plan_vlog_edit 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 Cutpilot, apply this rule, and every plan_vlog_edit call is checked against it from then on.
Questions about plan_vlog_edit
Build a non-mutating Vlog rough-cut proposal with hook, setup, journey, payoff, and outro sections using source subclips and factual asset annotations. It is categorised as a Write tool in the Cutpilot MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Cutpilot MCP server in PolicyLayer and add a rule for plan_vlog_edit: 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 Cutpilot. Nothing to install.
plan_vlog_edit 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 plan_vlog_edit 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 plan_vlog_edit. 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.
plan_vlog_edit is provided by the Cutpilot MCP server (Hellotravisss/cutpilot). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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