generate_pipeline_yaml

[Pipeline Management] Generate only the YAML configuration for a pipeline without creating it.\n\n

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/generate-pipeline-yaml.md

WHAT IT DOES

What generate_pipeline_yaml does on Alibabacloud Devops

AI agents use generate_pipeline_yaml 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 generate_pipeline_yaml is rated Medium

This tool creates configuration artifacts (YAML files) as output. Although it does not execute the pipeline or directly deploy changes, generating pipeline configuration is a reversible write operation that produces data. The absence of actual execution or deployment keeps this in Write rather than Execute.

From the tool's definition Tool description states it 'Generate only the YAML configuration for a pipeline without creating it.' The act of generating configuration files constitutes creation of data artifacts, which falls under Write operations.

Attacks that exploit this kind of access

RECOMMENDED RULE

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

generate_pipeline_yaml Rate-limited

generate_pipeline_yaml 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": {
    "generate_pipeline_yaml": {
      "limits": [
        {
          "counter": "generate_pipeline_yaml_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 generate_pipeline_yaml call is checked against it from then on.

FAQ

Questions about generate_pipeline_yaml

What does the generate_pipeline_yaml tool do? +

[Pipeline Management] Generate only the YAML configuration for a pipeline without creating it.\n\n. 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 generate_pipeline_yaml? +

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

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

Can I rate-limit generate_pipeline_yaml? +

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

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

generate_pipeline_yaml 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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