analyze_vlog_release
Run a strict Vlog release preflight covering offline assets, invalid edits, primary-video gaps, captions, rendered titles, duration, audio roles, safe areas, and export settings.
This record as markdown: /tools/cutpilot/analyze-vlog-release.md
What analyze_vlog_release does on Cutpilot
AI agents call analyze_vlog_release 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 analyze_vlog_release is rated Low
Even though analyze_vlog_release only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
The rule that runs analyze_vlog_release 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 analyze_vlog_release, this is the rule to start with:
analyze_vlog_release 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 analyze_vlog_release call is checked against it from then on.
Questions about analyze_vlog_release
Run a strict Vlog release preflight covering offline assets, invalid edits, primary-video gaps, captions, rendered titles, duration, audio roles, safe areas, and export settings. 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 analyze_vlog_release: 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.
analyze_vlog_release 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 analyze_vlog_release 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 analyze_vlog_release. 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.
analyze_vlog_release 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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