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 call plan_vlog_edit to retrieve information from Cutpilot without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why plan_vlog_edit is rated Low
The tool explicitly states it is 'non-mutating' and only builds a proposal/plan. It reads and analyzes existing assets to produce a suggested edit structure without modifying any data or triggering any actions.
From the tool's definition non-mutating Vlog rough-cut proposal
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 is read-only, so it stays allowed. 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 Read tool in the Cutpilot MCP Server, which means it retrieves data without modifying state.
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 Read tool with low risk. Read-only tools are generally safe to allow by default.
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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