batch_request
Execute multiple ServiceNow REST API operations in a single HTTP call.
This record as markdown: /tools/nowaikit-servicenow-ai-toolkit/batch-request.md
What batch_request does on NowAIKit — ServiceNow AI Toolkit
AI agents invoke batch_request to trigger actions in NowAIKit — ServiceNow AI Toolkit. 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.
Why batch_request is rated High
The tool's capability to 'execute multiple ServiceNow REST API operations' qualifies it as Execute rather than Write, because: (1) the actual effects depend entirely on which API operations are batched by the caller, (2) it can batch both read and write operations, and (3) without tight constraints on what APIs are exposed, it poses significant risk if an AI agent chains arbitrary ServiceNow state changes together.
From the tool's definition Tool explicitly executes multiple ServiceNow REST API operations in a single HTTP call, and REST API operations can include write, delete, and other state-changing actions depending on the caller's intent.
Attacks that exploit this kind of access
The rule that runs batch_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 batch_request, this is the rule to start with:
batch_request 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.
The button opens the PolicyLayer dashboard: create your workspace, connect NowAIKit — ServiceNow AI Toolkit, apply this rule, and every batch_request call is checked against it from then on.
Questions about batch_request
Execute multiple ServiceNow REST API operations in a single HTTP call. It is categorised as a Execute tool in the NowAIKit — ServiceNow AI Toolkit MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the NowAIKit — ServiceNow AI Toolkit 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 NowAIKit — ServiceNow AI Toolkit. 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 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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