AI agents use git_stash 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_stash saves uncommitted working directory changes to a temporary stack, which is a reversible write operation. The changes are not deleted — they can be restored with git stash pop/apply. However, misuse could cause confusion or loss of work context, warranting medium severity.
From the tool's definition Stashes changes in working directory
Attacks that exploit this kind of access
Stashes changes in working directory. 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_stash: 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_stash 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_stash 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_stash. 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_stash 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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