AttachDataQualityRulesToEvaluationTask

WHAT IT DOES

What AttachDataQualityRulesToEvaluationTask does on Alibabacloud Dataworks

AI agents use AttachDataQualityRulesToEvaluationTask to create or update resources in Alibabacloud Dataworks — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Alibabacloud Dataworks environment.

PARAMETERS

Parameter	Type	Required	Description
`ProjectId`	number	Yes	DataWorks工作空间的ID
`DataQualityRuleIds`	array	Yes	数据质量规则ID列表
`DataQualityEvaluationTaskId`	number	Yes	关联的质量校验任务ID

Parameters from the server's own tool schema.

WHY IT NEEDS A POLICY

Why AttachDataQualityRulesToEvaluationTask needs a policy

An AI agent can call AttachDataQualityRulesToEvaluationTask faster than any human can review — one bad instruction and it creates or modifies resources in Alibabacloud Dataworks by the hundred, each call as confident as the last.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

AttachDataQualityRulesToEvaluationTask Rate-limited

AttachDataQualityRulesToEvaluationTask stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "AttachDataQualityRulesToEvaluationTask": {
      "limits": [
        {
          "counter": "attachdataqualityrulestoevaluationtask_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Alibabacloud Dataworks, so you can run agents against it safely.

FAQ

Questions about AttachDataQualityRulesToEvaluationTask

What does the AttachDataQualityRulesToEvaluationTask tool do? +

关联数据质量规则与数据质量监控. It is categorised as a Write tool in the Alibabacloud Dataworks MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does AttachDataQualityRulesToEvaluationTask accept? +

AttachDataQualityRulesToEvaluationTask accepts 3 parameters: ProjectId, DataQualityRuleIds, DataQualityEvaluationTaskId. Required: ProjectId, DataQualityRuleIds, DataQualityEvaluationTaskId. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on AttachDataQualityRulesToEvaluationTask? +

Register the Alibabacloud Dataworks MCP server in PolicyLayer and add a rule for AttachDataQualityRulesToEvaluationTask: 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.

What risk level is AttachDataQualityRulesToEvaluationTask? +

AttachDataQualityRulesToEvaluationTask is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit AttachDataQualityRulesToEvaluationTask? +

Yes. Add a rate_limit block to the AttachDataQualityRulesToEvaluationTask 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.

How do I block AttachDataQualityRulesToEvaluationTask completely? +

Set action: deny in the PolicyLayer policy for AttachDataQualityRulesToEvaluationTask. 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.

What MCP server provides AttachDataQualityRulesToEvaluationTask? +

AttachDataQualityRulesToEvaluationTask 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.