update_pipeline_schedule

Update an existing pipeline schedule

SERVERGitlab Mcp SOURCE@zereight/mcp-gitlab

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/io-github-zereight-gitlab-mcp/update-pipeline-schedule.md

WHAT IT DOES

What update_pipeline_schedule does on Gitlab Mcp

AI agents use update_pipeline_schedule to create or update resources in Gitlab Mcp, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Gitlab Mcp environment.

RISK

Why update_pipeline_schedule is rated Medium

Modifies pipeline scheduling configuration; reversible change with moderate blast radius if misused by agents.

From the tool's definition Update an existing pipeline schedule

Attacks that exploit this kind of access

RECOMMENDED RULE

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

update_pipeline_schedule Rate-limited

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

FAQ

Questions about update_pipeline_schedule

What does the update_pipeline_schedule tool do? +

Update an existing pipeline schedule. It is categorised as a Write tool in the Gitlab Mcp 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_schedule? +

Register the Gitlab MCP server in PolicyLayer and add a rule for update_pipeline_schedule: 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 update_pipeline_schedule? +

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

Can I rate-limit update_pipeline_schedule? +

Yes. Add a rate_limit block to the update_pipeline_schedule 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_schedule completely? +

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

update_pipeline_schedule 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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