refuse_pipeline_validate

[Pipeline Management] Refuse/reject a manual checkpoint (human validation gate) in a pipeline run.

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/refuse-pipeline-validate.md

WHAT IT DOES

What refuse_pipeline_validate does on Alibabacloud Devops

AI agents invoke refuse_pipeline_validate 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 refuse_pipeline_validate is rated High

This tool actively triggers an external operation — rejecting a human validation gate — which causes the pipeline run to halt or fail. It is not merely reading data nor is it directly destructive/financial, but it executes an action (rejection decision) that has significant downstream effects on the pipeline execution flow, potentially blocking deployments or releases.

From the tool's definition Refuse/reject a manual checkpoint (human validation gate) in a pipeline run

Attacks that exploit this kind of access

RECOMMENDED RULE

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

refuse_pipeline_validate Rate-limited

refuse_pipeline_validate 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": {
    "refuse_pipeline_validate": {
      "limits": [
        {
          "counter": "refuse_pipeline_validate_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 refuse_pipeline_validate call is checked against it from then on.

FAQ

Questions about refuse_pipeline_validate

What does the refuse_pipeline_validate tool do? +

[Pipeline Management] Refuse/reject a manual checkpoint (human validation gate) in a pipeline run. 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 refuse_pipeline_validate? +

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

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

Can I rate-limit refuse_pipeline_validate? +

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

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

refuse_pipeline_validate 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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