update_effort_record

[Project Management] 更新已登记的实际工时（云效实际工时受控字段，不能走 update_work_item.customFieldValues）。

SERVERAlibabacloud Devops SOURCEalibabacloud-devops-mcp-server

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/alibabacloud-devops/update-effort-record.md

WHAT IT DOES

What update_effort_record does on Alibabacloud Devops

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

RISK

Why update_effort_record is rated Medium

This tool creates or modifies effort/time tracking data in a project management system. The update is reversible—hours can be corrected or adjusted—making it a Write operation rather than Destructive. The blast radius is low because misuse would corrupt time tracking records but not delete critical data or trigger deployment/infrastructure changes.

From the tool's definition Tool name 'update_effort_record' combined with description indicating it updates registered actual work hours (实际工时), which modifies project management data reversibly.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs update_effort_record safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Alibabacloud Devops, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For update_effort_record, this is the rule to start with:

update_effort_record Rate-limited

update_effort_record 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": {
    "update_effort_record": {
      "limits": [
        {
          "counter": "update_effort_record_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Alibabacloud Devops, apply this rule, and every update_effort_record call is checked against it from then on.

FAQ

Questions about update_effort_record

What does the update_effort_record tool do? +

[Project Management] 更新已登记的实际工时（云效实际工时受控字段，不能走 update_work_item.customFieldValues）。. It is categorised as a Write tool in the Alibabacloud Devops MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on update_effort_record? +

Register the Alibabacloud Devops MCP server in PolicyLayer and add a rule for update_effort_record: 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 Devops. Nothing to install.

What risk level is update_effort_record? +

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

Can I rate-limit update_effort_record? +

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

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

update_effort_record is provided by the Alibabacloud Devops MCP server (alibabacloud-devops-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

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