Analyzes a local reference video and returns a deterministic video blueprint that can guide later replication planning.
AI agents call analyze_reference_video to retrieve information from Premiere MCP 剪辑助手 without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Even though analyze_reference_video 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
Analyzes a local reference video and returns a deterministic video blueprint that can guide later replication planning. It is categorised as a Read tool in the Premiere MCP 剪辑助手 MCP Server, which means it retrieves data without modifying state.
Register the Premiere MCP 剪辑助手 MCP server in PolicyLayer and add a rule for analyze_reference_video: 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 Premiere MCP 剪辑助手. Nothing to install.
analyze_reference_video 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_reference_video 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_reference_video. 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_reference_video is provided by the Premiere MCP 剪辑助手 MCP server (sylphiette269/premiere-mcp-editor-cn). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.