AI agents use git_cherry_pick to create or update resources in Git — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Git environment.
Cherry-pick applies commits from one branch to another, modifying the repository history. This is a Write operation as it creates new commits in the target branch. However, it has high severity because misuse could introduce unintended changes across branches, corrupt history, or cause merge conflicts in shared repositories. It is reversible (can be aborted or reverted), so it doesn't qualify as Destructive.
From the tool's definition Start, continue, or abort cherry-pick
Attacks that exploit this kind of access
Start, continue, or abort cherry-pick. It is categorised as a Write tool in the Git MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Git MCP server in PolicyLayer and add a rule for git_cherry_pick: 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 Git. Nothing to install.
git_cherry_pick is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the git_cherry_pick 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 git_cherry_pick. 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.
git_cherry_pick is provided by the Git MCP server (selfagency/git-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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