AI agents call servicenow_application as a supporting operation in Servicenow Api workflows.
The description is empty and the tool name alone ('servicenow_application') is too ambiguous to determine what operation it performs. It could be read, write, or execute depending on implementation. With no evidence, confidence is very low and defaulting to Other is appropriate.
From the tool's definition Tool name is 'servicenow_application' with an empty description providing no information about what the tool does.
Documented attack patterns abuse exactly the kind of access servicenow_application 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_application:
{
"version": "1",
"default": "deny",
"tools": {
"servicenow_application": {
"limits": [
{
"counter": "servicenow_application_rate",
"window": "minute",
"max": 60,
"scope": "grant"
}
]
}
}
}servicenow_application gets a rate cap, and everything else on the server is denied unless you say otherwise.
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servicenow_application. It is categorised as a Other tool in the Servicenow Api MCP Server, which means it performs auxiliary operations.
Register the Servicenow Api MCP server in PolicyLayer and add a rule for servicenow_application: 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_application is a Other tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the servicenow_application 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_application. 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_application 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.
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30 Servicenow Api tools catalogued and risk-classified — across an index of 43,000+ MCP servers.