AI agents use commit_changes to create or update resources in Carrot AI PM — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Carrot AI PM environment.
The tool modifies repository history by committing changes, which is a Write operation—data is created/recorded but can be undone via standard VCS commands. Severity is medium because misuse could pollute git history or commit unintended code changes, but the impact is recoverable.
From the tool's definition Tool name 'commit_changes' indicates modification of version control state. Empty description limits precision, but commit operations create new records in version control and are reversible through standard git operations (revert, reset).
Documented attack patterns abuse exactly the kind of access commit_changes gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Carrot AI PM, and nothing reaches the server without passing your rules. This is the rule we recommend for commit_changes:
{
"version": "1",
"default": "deny",
"tools": {
"commit_changes": {
"limits": [
{
"counter": "commit_changes_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}commit_changes 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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commit_changes. It is categorised as a Write tool in the Carrot AI PM MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Carrot AI PM MCP server in PolicyLayer and add a rule for commit_changes: 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 Carrot AI PM. Nothing to install.
commit_changes 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 commit_changes 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 commit_changes. 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.
commit_changes is provided by the Carrot AI PM MCP server (talvinder/carrot-ai-pm). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 11 Carrot AI PM tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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11 Carrot AI PM tools catalogued and risk-classified — across an index of 42,500+ MCP servers.