获取数据质量校验任务实例详情
AI agents call GetDataQualityEvaluationTaskInstance 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 | Yes | 数据质量监控实例ID |
Parameters from the server's own tool schema.
Even though GetDataQualityEvaluationTaskInstance 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
获取数据质量校验任务实例详情. It is categorised as a Read tool in the Alibabacloud Dataworks MCP Server, which means it retrieves data without modifying state.
GetDataQualityEvaluationTaskInstance accepts 1 parameter: Id. Required: Id. 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 GetDataQualityEvaluationTaskInstance: 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.
GetDataQualityEvaluationTaskInstance 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 GetDataQualityEvaluationTaskInstance 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 GetDataQualityEvaluationTaskInstance. 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.
GetDataQualityEvaluationTaskInstance 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.