AI agents invoke install_galaxy_role to trigger actions in Ludus FastMCP. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
Installing an Ansible Galaxy role is an external operation that pulls and executes third-party code/configuration into the cyber range environment. This falls under Execute due to the external operation and code installation nature. Severity is high because installing arbitrary roles could introduce malicious code or misconfigure the environment, but without a description, confidence is moderate.
From the tool's definition Tool name 'install_galaxy_role' suggests installing an Ansible Galaxy role into the environment. The description is empty and uninformative, lowering confidence.
Documented attack patterns abuse exactly the kind of access install_galaxy_role gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Ludus FastMCP, and nothing reaches the server without passing your rules. This is the rule we recommend for install_galaxy_role:
{
"version": "1",
"default": "deny",
"tools": {
"install_galaxy_role": {
"limits": [
{
"counter": "install_galaxy_role_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}install_galaxy_role stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
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install_galaxy_role. It is categorised as a Execute tool in the Ludus FastMCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Ludus Fast MCP server in PolicyLayer and add a rule for install_galaxy_role: 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 Ludus FastMCP. Nothing to install.
install_galaxy_role is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the install_galaxy_role 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 install_galaxy_role. 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.
install_galaxy_role is provided by the Ludus Fast MCP server (tjnull/ludus-fastmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 201 Ludus FastMCP tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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201 Ludus FastMCP tools catalogued and risk-classified — across an index of 42,500+ MCP servers.