查看数据集成同步任务配置详情
AI agents call GetDIJob to retrieve information from Alibabacloud Dataworks without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
Id | string | number | — | 实例ID |
DIJobId | number | — | 该字段已废弃，请使用Id字段 |
ProjectId | number | — | DataWorks工作空间ID |
WithDetails | boolean | — | 是否返回详细配置信息，详细配置信息包括TransformationRules、TableMappings、JobSettings。默认返回 |
Parameters from the server's own tool schema.
Even though GetDIJob 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
查看数据集成同步任务配置详情. It is categorised as a Read tool in the Alibabacloud Dataworks MCP Server, which means it retrieves data without modifying state.
GetDIJob accepts 4 parameters: Id, DIJobId, ProjectId, WithDetails. 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 GetDIJob: 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.
GetDIJob 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 GetDIJob 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 GetDIJob. 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.
GetDIJob 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.