Trigger an asynchronous rebase of the MR
AI agents invoke rebase_merge_request to trigger actions in Mcp Gitlab. 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.
Rebasing a merge request triggers an external Git operation that rewrites commit history on the branch. This is an Execute-level action as it initiates an asynchronous operation with side effects on the repository. While it can be recoverable in some cases, it is not a simple write and may cause force-push-like effects on the branch.
From the tool's definition Trigger an asynchronous rebase of the MR
Attacks that exploit this kind of access
Trigger an asynchronous rebase of the MR. It is categorised as a Execute tool in the Mcp Gitlab MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Mcp Gitlab MCP server in PolicyLayer and add a rule for rebase_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 Mcp Gitlab. Nothing to install.
rebase_merge_request is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the rebase_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.
Set action: deny in the PolicyLayer policy for rebase_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.
rebase_merge_request is provided by the Mcp Gitlab MCP server (wanadev/gitlab-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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