update_pipeline

[Pipeline Management] Update an existing pipeline in Yunxiao by pipelineId. Use this to update pipeline YAML, stages, jobs, etc.

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-pipeline.md

WHAT IT DOES

What update_pipeline does on Alibabacloud Devops

AI agents use update_pipeline 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_pipeline is rated Medium

This tool modifies pipeline configurations, which are critical infrastructure-as-code artifacts in a DevOps system. While reversible (not Destructive), updating pipelines can have significant blast radius if misconfigured by an AI agent—potentially affecting build/deployment processes, CI/CD workflows, and release automation.

From the tool's definition Tool description states 'Update an existing pipeline' and explicitly mentions updating 'pipeline YAML, stages, jobs, etc.' The verb 'update' indicates modification of existing data structures.

Attacks that exploit this kind of access

RECOMMENDED RULE

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

update_pipeline Rate-limited

update_pipeline 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_pipeline": {
      "limits": [
        {
          "counter": "update_pipeline_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_pipeline call is checked against it from then on.

FAQ

Questions about update_pipeline

What does the update_pipeline tool do? +

[Pipeline Management] Update an existing pipeline in Yunxiao by pipelineId. Use this to update pipeline YAML, stages, jobs, etc. 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_pipeline? +

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

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

Can I rate-limit update_pipeline? +

Yes. Add a rate_limit block to the update_pipeline 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_pipeline completely? +

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

update_pipeline 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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