Execute multiple API requests in a single call
AI agents invoke batch_request 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.
While batch_request itself is not destructive or financial, it operates as an execution mechanism that amplifies the blast radius of other tools on the server. An AI agent could use batch_request to execute multiple high-impact operations (create incidents, approve changes, update assets) in a single call, potentially causing widespread unintended modifications across ServiceNow before a human can intervene.
From the tool's definition The tool 'batch_request' enables execution of 'multiple API requests in a single call' against ServiceNow ITSM systems.
Attacks that exploit this kind of access
Execute multiple API requests in a single call. 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.
Register the ServiceNow MCP Server MCP server in PolicyLayer and add a rule for batch_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 ServiceNow MCP Server. Nothing to install.
batch_request is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the batch_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.
Set action: deny in the PolicyLayer policy for batch_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.
batch_request is provided by the ServiceNow MCP Server MCP server (schwarztim/servicenow-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
Teams ship this data inside their own products. See what a licence covers →