trigger_scheduled_job

Immediately execute a scheduled job on-demand (requires WRITE_ENABLED=true)

SERVERServiceNow MCP Server SOURCE@aartiq/servicenow-mcp

High RISK CLASS

Category Execute

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity verified Pull the record →

This record as markdown: /tools/servicenow-mcp-server/trigger-scheduled-job.md

WHAT IT DOES

What trigger_scheduled_job does on ServiceNow MCP Server

AI agents invoke trigger_scheduled_job to trigger actions in ServiceNow MCP Server. 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.

RISK

Why trigger_scheduled_job is rated High

This tool executes a scheduled job outside its normal schedule, which constitutes an Execute-category action per the rules. The 'immediate' trigger of a job whose side effects are dependent on its specific configuration and payload represents a code/operation execution risk.

From the tool's definition Immediately execute a scheduled job on-demand; tool enables triggering external operations whose effects depend on job configuration and arguments

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs trigger_scheduled_job safely

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

trigger_scheduled_job Rate-limited

trigger_scheduled_job 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "trigger_scheduled_job": {
      "limits": [
        {
          "counter": "trigger_scheduled_job_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect ServiceNow MCP Server, apply this rule, and every trigger_scheduled_job call is checked against it from then on.

FAQ

Questions about trigger_scheduled_job

What does the trigger_scheduled_job tool do? +

Immediately execute a scheduled job on-demand (requires WRITE_ENABLED=true). It is categorised as a Execute tool in the ServiceNow MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on trigger_scheduled_job? +

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

What risk level is trigger_scheduled_job? +

trigger_scheduled_job is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit trigger_scheduled_job? +

Yes. Add a rate_limit block to the trigger_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 trigger_scheduled_job completely? +

Set action: deny in the PolicyLayer policy for trigger_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 trigger_scheduled_job? +

trigger_scheduled_job is provided by the ServiceNow MCP Server MCP server (@aartiq/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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