取消任务
AI agents invoke cancel_task to trigger actions in Auto Video Generator. 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.
Cancelling a task triggers an external operation that terminates an in-progress process. This is not a simple read, and while it could be considered somewhat destructive to the task itself, it primarily executes a control action (cancellation) against a running operation.
From the tool's definition Tool name: cancel_task; description: '取消任务' (Cancel task)
Attacks that exploit this kind of access
取消任务. It is categorised as a Execute tool in the Auto Video Generator MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Auto Video Generator MCP server in PolicyLayer and add a rule for cancel_task: 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 Auto Video Generator. Nothing to install.
cancel_task 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 cancel_task 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 cancel_task. 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.
cancel_task is provided by the Auto Video Generator MCP server (zgmurder/auto_video_generator-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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