强制重新渲染视频(会扣除额度)。当用户修改了 HTML 素材、配音文案或音色后需要重新生成,或者对上一次渲染结果不满意想要重做时使用。调用前必须明确告知用户:此操作将消耗 1 次渲染额度。如果项目当前正在渲染中则拒绝(须等渲染完成或失败后才能重新触发)。
AI agents call re_render_video to retrieve information from Flash Cast without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Even though re_render_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
强制重新渲染视频(会扣除额度)。当用户修改了 HTML 素材、配音文案或音色后需要重新生成,或者对上一次渲染结果不满意想要重做时使用。调用前必须明确告知用户:此操作将消耗 1 次渲染额度。如果项目当前正在渲染中则拒绝(须等渲染完成或失败后才能重新触发)。. It is categorised as a Read tool in the Flash Cast MCP Server, which means it retrieves data without modifying state.
Register the Flash Cast MCP server in PolicyLayer and add a rule for re_render_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 Flash Cast. Nothing to install.
re_render_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 re_render_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 re_render_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.
re_render_video is provided by the Flash Cast MCP server (trtian/flash-cast-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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