更新数据地图集合对象
AI agents use UpdateMetaCollection 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.
| Parameter | Type | Required | Description |
|---|---|---|---|
Id | string | Yes | 集合对象ID |
Name | string | — | 更新后的集合名称 |
Description | string | — | 更新后的集合描述 |
Administrators | array | — | 集合管理员ID列表,仅专辑类型支持,要求管理员为同租户下账号 |
Parameters from the server's own tool schema.
An AI agent can call UpdateMetaCollection 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
更新数据地图集合对象. 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.
UpdateMetaCollection accepts 4 parameters: Id, Name, Description, Administrators. 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 UpdateMetaCollection: 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.
UpdateMetaCollection is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the UpdateMetaCollection 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 UpdateMetaCollection. 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.
UpdateMetaCollection 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.