servicenow_problem
A write tool on the Servicenow Api MCP server.
This record as markdown: /tools/knuckles-team-servicenow-api/servicenow-problem.md
What servicenow_problem does on Servicenow Api
AI agents use servicenow_problem to create or update resources in Servicenow Api, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Servicenow Api environment.
Why servicenow_problem is rated Medium
An AI agent can call servicenow_problem faster than any human can review: one bad instruction and it creates or modifies resources in Servicenow Api by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
The rule that runs servicenow_problem safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Servicenow Api, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For servicenow_problem, this is the rule to start with:
servicenow_problem 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Servicenow Api, apply this rule, and every servicenow_problem call is checked against it from then on.
Questions about servicenow_problem
servicenow_problem is a write tool on the Servicenow Api MCP server. It is categorised as a Write tool in the Servicenow Api MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Servicenow Api MCP server in PolicyLayer and add a rule for servicenow_problem: 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_problem 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 servicenow_problem 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_problem. 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_problem 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.
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