移除工作空间成员
AI agents call DeleteProjectMember to permanently remove resources in Alibabacloud Dataworks — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
| Parameter | Type | Required | Description |
|---|---|---|---|
UserId | string | Yes | DataWorks账号ID |
ProjectId | number | Yes | DataWorks工作空间的ID |
Parameters from the server's own tool schema.
An AI agent that decides to call DeleteProjectMember doesn't hesitate, doesn't double-check, and doesn't stop at one. Whatever it removes from Alibabacloud Dataworks is gone — there is no undo for destructive operations.
Attacks that exploit this kind of access
移除工作空间成员. It is categorised as a Destructive tool in the Alibabacloud Dataworks MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
DeleteProjectMember accepts 2 parameters: UserId, ProjectId. Required: UserId, ProjectId. The full parameter table on this page comes from the server's own tool schema.
Register the Alibabacloud Dataworks MCP server in PolicyLayer and add a rule for DeleteProjectMember: 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 Alibabacloud Dataworks. Nothing to install.
DeleteProjectMember is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the DeleteProjectMember 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 DeleteProjectMember. 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.
DeleteProjectMember is provided by the Alibabacloud Dataworks MCP server (alibabacloud-dataworks-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.