Create a PR with dependency updates for an app (dry-run by default)
AI agents use fleet_deps_fix to create or update resources in Fleet — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Fleet environment.
This tool creates a Pull Request with dependency updates, which is a reversible write operation (PRs can be closed/reverted). However, in a production deployment server context, merging dependency updates could trigger deployments affecting live systems. The dry-run default slightly lowers severity, but the potential blast radius of bad dependency updates reaching production is high.
From the tool's definition 'Create a PR with dependency updates for an app (dry-run by default)'
Documented attack patterns abuse exactly the kind of access fleet_deps_fix gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Fleet, and nothing reaches the server without passing your rules. This is the rule we recommend for fleet_deps_fix:
{
"version": "1",
"default": "deny",
"tools": {
"fleet_deps_fix": {
"limits": [
{
"counter": "fleet_deps_fix_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} fleet_deps_fix 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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Create a PR with dependency updates for an app (dry-run by default). It is categorised as a Write tool in the Fleet MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Fleet MCP server in PolicyLayer and add a rule for fleet_deps_fix: 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 Fleet. Nothing to install.
fleet_deps_fix 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 fleet_deps_fix 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 fleet_deps_fix. 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.
fleet_deps_fix is provided by the Fleet MCP server (wrxck/fleet). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Fleet, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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39 Fleet tools catalogued and risk-classified — across an index of 43,000+ MCP servers.