wait_for_pipeline

Wait for a pipeline to reach a terminal status

SERVERGitlab Mcp SOURCE@zereight/mcp-gitlab

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/io-github-zereight-gitlab-mcp/wait-for-pipeline.md

WHAT IT DOES

What wait_for_pipeline does on Gitlab Mcp

AI agents invoke wait_for_pipeline to trigger actions in Gitlab Mcp. 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 wait_for_pipeline is rated High

Triggers external CI/CD operation monitoring; affects workflow timing and dependencies.

From the tool's definition Wait for pipeline to reach terminal status; blocks execution flow.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs wait_for_pipeline safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Gitlab Mcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For wait_for_pipeline, this is the rule to start with:

wait_for_pipeline Rate-limited

wait_for_pipeline 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": {
    "wait_for_pipeline": {
      "limits": [
        {
          "counter": "wait_for_pipeline_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 Gitlab Mcp, apply this rule, and every wait_for_pipeline call is checked against it from then on.

FAQ

Questions about wait_for_pipeline

What does the wait_for_pipeline tool do? +

Wait for a pipeline to reach a terminal status. It is categorised as a Execute tool in the Gitlab Mcp MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on wait_for_pipeline? +

Register the Gitlab MCP server in PolicyLayer and add a rule for wait_for_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 Gitlab Mcp. Nothing to install.

What risk level is wait_for_pipeline? +

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

Can I rate-limit wait_for_pipeline? +

Yes. Add a rate_limit block to the wait_for_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 wait_for_pipeline completely? +

Set action: deny in the PolicyLayer policy for wait_for_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 wait_for_pipeline? +

wait_for_pipeline is provided by the Gitlab MCP server (@zereight/mcp-gitlab). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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