get_ai_agent_execution

Get an AI Agent execution plan with its steps/tool calls (sn_aia_execution_plan + _step)

SERVERServiceNow MCP Server SOURCE@aartiq/servicenow-mcp

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity verified Pull the record →

This record as markdown: /tools/servicenow-mcp-server/get-ai-agent-execution.md

WHAT IT DOES

What get_ai_agent_execution does on ServiceNow MCP Server

AI agents call get_ai_agent_execution to retrieve information from ServiceNow MCP Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why get_ai_agent_execution is rated Low

Retrieves and queries existing execution plan data without modification or side effects.

From the tool's definition Get an AI Agent execution plan with its steps/tool calls

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs get_ai_agent_execution 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 get_ai_agent_execution, this is the rule to start with:

get_ai_agent_execution Allowed

get_ai_agent_execution is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_ai_agent_execution": {}
  }
}

ALLOW ONLY 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 get_ai_agent_execution call is checked against it from then on.

FAQ

Questions about get_ai_agent_execution

What does the get_ai_agent_execution tool do? +

Get an AI Agent execution plan with its steps/tool calls (sn_aia_execution_plan + _step). It is categorised as a Read tool in the ServiceNow MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_ai_agent_execution? +

Register the ServiceNow MCP Server MCP server in PolicyLayer and add a rule for get_ai_agent_execution: 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 get_ai_agent_execution? +

get_ai_agent_execution is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_ai_agent_execution? +

Yes. Add a rate_limit block to the get_ai_agent_execution 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 get_ai_agent_execution completely? +

Set action: deny in the PolicyLayer policy for get_ai_agent_execution. 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 get_ai_agent_execution? +

get_ai_agent_execution 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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