AI agents invoke servicenow_flows to trigger actions in Servicenow Api. 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.
ServiceNow Flows typically refer to Flow Designer automations that can trigger complex workflows, execute actions, and orchestrate operations across the platform. The name suggests execution of flows/workflows, which falls under Execute. However, since the description is empty, confidence is reduced.
From the tool's definition Tool name 'servicenow_flows' on a server managing ServiceNow operations; description is empty and uninformative.
Documented attack patterns abuse exactly the kind of access servicenow_flows gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Servicenow Api, and nothing reaches the server without passing your rules. This is the rule we recommend for servicenow_flows:
{
"version": "1",
"default": "deny",
"tools": {
"servicenow_flows": {
"limits": [
{
"counter": "servicenow_flows_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}servicenow_flows 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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servicenow_flows. It is categorised as a Execute tool in the Servicenow Api MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Servicenow Api MCP server in PolicyLayer and add a rule for servicenow_flows: 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 Servicenow Api. Nothing to install.
servicenow_flows 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 servicenow_flows 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 servicenow_flows. 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.
servicenow_flows is provided by the Servicenow Api MCP server (knuckles-team/servicenow-api). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Servicenow Api, 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.
30 Servicenow Api tools catalogued and risk-classified — across an index of 43,000+ MCP servers.