使用火山方舟 Seedance 模型生成视频(异步任务)
AI agents invoke generate-video to trigger actions in Seedream/Seedance MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
This tool executes an external API call to generate video content asynchronously. It is not merely reading data; it initiates a compute-intensive external operation whose effects (generated video, API costs, resource consumption) depend on the provided arguments. It falls under Execute as it triggers an external operation, though it may also incur financial costs (API usage fees), making misuse potentially costly.
From the tool's definition "生成视频(异步任务)" — triggers asynchronous video generation via external Volcengine Ark API using the Seedance model
Attacks that exploit this kind of access
使用火山方舟 Seedance 模型生成视频(异步任务). It is categorised as a Execute tool in the Seedream/Seedance MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Seedream/Seedance MCP Server MCP server in PolicyLayer and add a rule for generate-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 Seedream/Seedance MCP Server. Nothing to install.
generate-video is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the generate-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 generate-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.
generate-video is provided by the Seedream/Seedance MCP Server MCP server (nsmao-com/seedream-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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