update_change_request

Update fields on a change request (requires WRITE_ENABLED=true)

SERVERNowAIKit — ServiceNow AI Toolkit SOURCEnowaikit

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity verified Pull the record →

This record as markdown: /tools/nowaikit-servicenow-ai-toolkit/update-change-request.md

WHAT IT DOES

What update_change_request does on NowAIKit — ServiceNow AI Toolkit

AI agents use update_change_request to create or update resources in NowAIKit — ServiceNow AI Toolkit, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your NowAIKit — ServiceNow AI Toolkit environment.

RISK

Why update_change_request is rated Medium

This tool modifies existing change request records in ServiceNow, a critical enterprise IT service management platform. While reversible (changes can be rolled back or corrected), unauthorized updates to change requests could disrupt IT operations, affect compliance tracking, and impact service delivery.

From the tool's definition Tool description explicitly states 'Update fields on a change request' and requires 'WRITE_ENABLED=true'. The term 'update' indicates modification of existing data in ServiceNow's change management system.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs update_change_request safely

PolicyLayer is an MCP gateway: it sits between your AI agents and NowAIKit — ServiceNow AI Toolkit, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For update_change_request, this is the rule to start with:

update_change_request Rate-limited

update_change_request 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "update_change_request": {
      "limits": [
        {
          "counter": "update_change_request_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect NowAIKit — ServiceNow AI Toolkit, apply this rule, and every update_change_request call is checked against it from then on.

FAQ

Questions about update_change_request

What does the update_change_request tool do? +

Update fields on a change request (requires WRITE_ENABLED=true). It is categorised as a Write tool in the NowAIKit — ServiceNow AI Toolkit MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on update_change_request? +

Register the NowAIKit — ServiceNow AI Toolkit MCP server in PolicyLayer and add a rule for update_change_request: 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 NowAIKit — ServiceNow AI Toolkit. Nothing to install.

What risk level is update_change_request? +

update_change_request is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit update_change_request? +

Yes. Add a rate_limit block to the update_change_request 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.

How do I block update_change_request completely? +

Set action: deny in the PolicyLayer policy for update_change_request. 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.

What MCP server provides update_change_request? +

update_change_request is provided by the NowAIKit — ServiceNow AI Toolkit MCP server (nowaikit). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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