execute_app_release_stage

[application delivery] 执行变更请求的发布流程阶段

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-app-release-stage.md

WHAT IT DOES

What execute_app_release_stage does on Alibabacloud Devops

AI agents invoke execute_app_release_stage 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_app_release_stage is rated High

The tool executes a release stage in an application delivery pipeline, which is an operational action that triggers real-world effects (deployment/promotion of application changes). This constitutes executing an external operation whose consequences depend on the application state and deployment configuration.

From the tool's definition Tool name contains 'execute' and description indicates it 'executes' (执行) an 'app release stage' (发布流程阶段) which is part of application delivery and change management. This triggers external deployment operations.

Attacks that exploit this kind of access

RECOMMENDED RULE

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

execute_app_release_stage Rate-limited

execute_app_release_stage 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_app_release_stage": {
      "limits": [
        {
          "counter": "execute_app_release_stage_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_app_release_stage call is checked against it from then on.

FAQ

Questions about execute_app_release_stage

What does the execute_app_release_stage tool do? +

[application delivery] 执行变更请求的发布流程阶段. 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_app_release_stage? +

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

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

Can I rate-limit execute_app_release_stage? +

Yes. Add a rate_limit block to the execute_app_release_stage 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_app_release_stage completely? +

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

execute_app_release_stage 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.

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