AI agents use git_pull to create or update resources in MCP File Edit — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your MCP File Edit environment.
git pull fetches and merges remote changes into the local repository, modifying local files and history. This is reversible (can be undone with git reset/revert), making it a Write operation rather than Destructive. However, it can overwrite local changes or cause merge conflicts, giving it medium severity.
From the tool's definition Pull changes from remote repository
Documented attack patterns abuse exactly the kind of access git_pull gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MCP File Edit, and nothing reaches the server without passing your rules. This is the rule we recommend for git_pull:
{
"version": "1",
"default": "deny",
"tools": {
"git_pull": {
"limits": [
{
"counter": "git_pull_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} git_pull 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.
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Pull changes from remote repository. It is categorised as a Write tool in the MCP File Edit MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the MCP File Edit MCP server in PolicyLayer and add a rule for git_pull: 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 File Edit. Nothing to install.
git_pull 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_pull 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_pull. 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_pull is provided by the MCP File Edit MCP server (patrickomatik/mcp-file-edit). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MCP File Edit, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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32 MCP File Edit tools catalogued and risk-classified — across an index of 43,000+ MCP servers.