AI agents use git_commit to create or update resources in Mcp Git — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Mcp Git environment.
git_commit creates new commits that persist changes to the repository. While reversible (commits can be undone via git_reset or revert), this modifies repository history and state. It is not Destructive because commits are not irreversible—they can be reset or reverted.
From the tool's definition Tool name 'git_commit' and description 'Records changes to the repository' indicate it creates/modifies the commit history and repository state.
Attacks that exploit this kind of access
Records changes to the repository. It is categorised as a Write tool in the Mcp Git MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Mcp Git MCP server in PolicyLayer and add a rule for git_commit: 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 Git. Nothing to install.
git_commit 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_commit 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_commit. 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_commit is provided by the Mcp Git MCP server (mcp-git). 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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