update_issue · Kepler MCP GitLab Server MCP: Risk & Policy

WHAT IT DOES

What update_issue does on Kepler MCP GitLab Server

AI agents use update_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 update_issue needs a policy

The tool modifies GitLab issue data reversibly—changes can be undone by further updates. This is a Write operation rather than Destructive since issue updates do not permanently delete data. Severity is medium because misuse could alter issue tracking state and project metadata, affecting team workflows, but the impact is recoverable and scoped to a single issue or small set of issues.

From the tool's definition Tool name 'update_issue' combined with sibling tools like 'create_issue', 'close_issue', and 'create_merge_request' indicates state-modifying operations on GitLab issues.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

update_issue Rate-limited

update_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": {
    "update_issue": {
      "limits": [
        {
          "counter": "update_issue_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_issue

What does the update_issue tool do? +

update_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 update_issue? +

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

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

Can I rate-limit update_issue? +

Yes. Add a rate_limit block to the update_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 update_issue completely? +

Set action: deny in the PolicyLayer policy for update_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 update_issue? +

update_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.