update_scheduled_job

Update a scheduled job (requires WRITE_ENABLED=true)

SERVERServiceNow-MCP SOURCEtedorigawa001/servicenow-mcp

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/tedorigawa001-servicenow-mcp/update-scheduled-job.md

WHAT IT DOES

What update_scheduled_job does on ServiceNow-MCP

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

RISK

Why update_scheduled_job is rated Medium

This tool creates or modifies data reversibly by updating scheduled job configurations in ServiceNow. While not destructive (changes can be reverted), it has high severity because misconfigured scheduled jobs can cause widespread operational disruption—affecting monitoring, automation, data collection, or business-critical processes across the platform.

From the tool's definition Tool name explicitly states 'update' and description confirms it modifies scheduled jobs; requires WRITE_ENABLED=true permission gate.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs update_scheduled_job safely

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

update_scheduled_job Rate-limited

update_scheduled_job 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_scheduled_job": {
      "limits": [
        {
          "counter": "update_scheduled_job_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 ServiceNow-MCP, apply this rule, and every update_scheduled_job call is checked against it from then on.

FAQ

Questions about update_scheduled_job

What does the update_scheduled_job tool do? +

Update a scheduled job (requires WRITE_ENABLED=true). It is categorised as a Write tool in the ServiceNow-MCP 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_scheduled_job? +

Register the ServiceNow MCP server in PolicyLayer and add a rule for update_scheduled_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 ServiceNow-MCP. Nothing to install.

What risk level is update_scheduled_job? +

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

Can I rate-limit update_scheduled_job? +

Yes. Add a rate_limit block to the update_scheduled_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.

How do I block update_scheduled_job completely? +

Set action: deny in the PolicyLayer policy for update_scheduled_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.

What MCP server provides update_scheduled_job? +

update_scheduled_job is provided by the ServiceNow MCP server (tedorigawa001/servicenow-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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