SetSuccessTaskInstances · Alibabacloud Dataworks MCP

WHAT IT DOES

What SetSuccessTaskInstances does on Alibabacloud Dataworks

AI agents use SetSuccessTaskInstances 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
`Ids`	array	—	任务实例ID列表
`Comment`	string	—	备注信息

Parameters from the server's own tool schema.

WHY IT NEEDS A POLICY

Why SetSuccessTaskInstances needs a policy

An AI agent can call SetSuccessTaskInstances 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

SetSuccessTaskInstances Rate-limited

SetSuccessTaskInstances 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": {
    "SetSuccessTaskInstances": {
      "limits": [
        {
          "counter": "setsuccesstaskinstances_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 SetSuccessTaskInstances

What does the SetSuccessTaskInstances tool do? +

置成功任务实例. 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 SetSuccessTaskInstances accept? +

SetSuccessTaskInstances accepts 2 parameters: Ids, Comment. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on SetSuccessTaskInstances? +

Register the Alibabacloud Dataworks MCP server in PolicyLayer and add a rule for SetSuccessTaskInstances: 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 SetSuccessTaskInstances? +

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

Can I rate-limit SetSuccessTaskInstances? +

Yes. Add a rate_limit block to the SetSuccessTaskInstances 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 SetSuccessTaskInstances completely? +

Set action: deny in the PolicyLayer policy for SetSuccessTaskInstances. 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 SetSuccessTaskInstances? +

SetSuccessTaskInstances 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.