获取任务实例列表
AI agents call ListTaskInstances 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 | — | 任务实例ID。任务实例存在重跑的情况，假如设置该参数，则返回包含重跑的历史信息，通过RunNumber区分每个历史信息 |
Ids | array | — | 任务实例ID列表，可根据任务实例Id批量查询多个任务实例信息 |
Owner | string | — | 任务的责任人的账号ID |
SortBy | string | — | 排序字段。支持定时时间、开始时间等字段，格式为"排序字段+排序方式(Desc/Asc)"（Asc可以缺省）。排序字段的枚举值如下：- `TriggerTime (Desc/Asc)`- `StartedTime (Desc/Asc)`- `FinishedTime (Desc/Asc)`- `CreateTime (D |
TaskId | number | — | 对应任务的ID |
Bizdate | number | Yes | 业务日期。一般是周期实例定时时间的前一天的0点0分0秒，格式为毫秒级时间戳，如1743350400000 |
TaskIds | array | — | 对应任务的ID列表，可根据任务Id批量查询任务实例 |
PageSize | number | — | 每页的条目数，默认为10 |
TaskName | string | — | 对应任务的名称，支持模糊查询 |
TaskType | string | — | 任务类型。各节点的TaskType取值，请参见[DataWorks节点合集](~~600169~~) |
ProjectId | number | Yes | 项目ID |
PageNumber | number | — | 页码，从1开始，默认为1 |
Parameters from the server's own tool schema.
Even though ListTaskInstances 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.
Risk signalsHigh parameter count (19 properties)
Attacks that exploit this kind of access
获取任务实例列表. It is categorised as a Read tool in the Alibabacloud Dataworks MCP Server, which means it retrieves data without modifying state.
ListTaskInstances accepts 12 parameters: Id, Ids, Owner, SortBy, TaskId, Bizdate, TaskIds, PageSize, TaskName, TaskType, ProjectId, PageNumber. Required: Bizdate, 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 ListTaskInstances: 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.
ListTaskInstances 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 ListTaskInstances 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 ListTaskInstances. 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.
ListTaskInstances 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.