execute_job_action

[application delivery] 操作环境部署单

SERVERAlibabacloud Devops SOURCEalibabacloud-devops-mcp-server

High RISK CLASS

Category Execute

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/execute-job-action.md

WHAT IT DOES

What execute_job_action does on Alibabacloud Devops

AI agents invoke execute_job_action to trigger actions in Alibabacloud Devops. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.

RISK

Why execute_job_action is rated High

This tool executes deployment job actions in application delivery environments. While the description is brief and in Chinese, the 'execute' verb plus 'job_action' in a DevOps/deployment context clearly indicates the tool triggers external operations whose effects depend on which job/environment is targeted.

From the tool's definition Tool name 'execute_job_action' with description indicating deployment/environment operation (操作环境部署单 = 'operate environment deployment order'). The word 'execute' combined with deployment context indicates triggering external deployment operations.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs execute_job_action 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 execute_job_action, this is the rule to start with:

execute_job_action Rate-limited

execute_job_action stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "execute_job_action": {
      "limits": [
        {
          "counter": "execute_job_action_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-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 execute_job_action call is checked against it from then on.

FAQ

Questions about execute_job_action

What does the execute_job_action tool do? +

[application delivery] 操作环境部署单. It is categorised as a Execute tool in the Alibabacloud Devops MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on execute_job_action? +

Register the Alibabacloud Devops MCP server in PolicyLayer and add a rule for execute_job_action: 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 execute_job_action? +

execute_job_action is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit execute_job_action? +

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

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

execute_job_action 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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