update_merge_request · Kepler MCP GitLab Server MCP

WHAT IT DOES

What update_merge_request does on Kepler MCP GitLab Server

AI agents use update_merge_request to create or update resources in Kepler MCP GitLab Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Kepler MCP GitLab Server environment.

WHY IT NEEDS A POLICY

Why update_merge_request needs a policy

Updating a merge request modifies an existing code review object—changing title, description, labels, assignees, or other metadata. This is reversible (can be reverted or edited again), making it Write rather than Destructive. Severity is high because misuse could alter critical code review processes, approval states, or project workflow decisions without explicit authorization.

From the tool's definition Tool name 'update_merge_request' and sibling tools on GitLab MCP server (create_merge_request, approve_merge_request, create_file, etc.) indicate write operations that modify code review artifacts and project state.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

update_merge_request Rate-limited

update_merge_request 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_merge_request": {
      "limits": [
        {
          "counter": "update_merge_request_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Kepler MCP GitLab Server, so you can run agents against it safely.

FAQ

Questions about update_merge_request

What does the update_merge_request tool do? +

update_merge_request. It is categorised as a Write tool in the Kepler MCP GitLab Server 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_merge_request? +

Register the Kepler MCP GitLab Server MCP server in PolicyLayer and add a rule for update_merge_request: 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 Kepler MCP GitLab Server. Nothing to install.

What risk level is update_merge_request? +

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

Can I rate-limit update_merge_request? +

Yes. Add a rate_limit block to the update_merge_request 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_merge_request completely? +

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

update_merge_request is provided by the Kepler MCP GitLab Server MCP server (ryan-rbw/kepler-mcp-gitlab-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.