create_issue · Kepler MCP GitLab Server MCP: Risk & Policy

WHAT IT DOES

What create_issue does on Kepler MCP GitLab Server

AI agents use create_issue 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 create_issue needs a policy

Creating an issue is a reversible Write operation that creates new data in GitLab. While issues can affect project workflows and communication, they do not execute arbitrary code, delete data, or involve financial transactions. The impact is limited to project management metadata, making it Write-severity medium rather than Execute or higher.

From the tool's definition Tool name 'create_issue' and GitLab server context indicating issue management capabilities. Description is empty, but sibling tools include 'add_issue_comment', 'close_issue', and 'create_merge_request', confirming this server manages GitLab issues.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

create_issue Rate-limited

create_issue 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": {
    "create_issue": {
      "limits": [
        {
          "counter": "create_issue_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

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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 create_issue

What does the create_issue tool do? +

create_issue. 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 create_issue? +

Register the Kepler MCP GitLab Server MCP server in PolicyLayer and add a rule for create_issue: 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 create_issue? +

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

Can I rate-limit create_issue? +

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

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

create_issue 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.