AI agents invoke trigger_remote_execution_job to trigger actions in Foreman MCP Server. 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.
Foreman is a systems management platform used to manage infrastructure. A tool that triggers remote execution jobs can run arbitrary commands on remote systems, making it an Execute-category risk. The empty description prevents higher precision, but the tool name and context clearly indicate this executes code/commands on external systems whose effects depend entirely on the arguments passed.
From the tool's definition Tool name 'trigger_remote_execution_job' indicates execution of remote operations on Foreman-managed systems.
Documented attack patterns abuse exactly the kind of access trigger_remote_execution_job gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Foreman MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for trigger_remote_execution_job:
{
"version": "1",
"default": "deny",
"tools": {
"trigger_remote_execution_job": {
"limits": [
{
"counter": "trigger_remote_execution_job_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} trigger_remote_execution_job 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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trigger_remote_execution_job. It is categorised as a Execute tool in the Foreman MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Foreman MCP Server MCP server in PolicyLayer and add a rule for trigger_remote_execution_job: 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 Foreman MCP Server. Nothing to install.
trigger_remote_execution_job 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 trigger_remote_execution_job 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 trigger_remote_execution_job. 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.
trigger_remote_execution_job is provided by the Foreman MCP Server MCP server (theforeman/foreman-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Foreman MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
9 Foreman MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.