Run aggregate queries (count, sum, avg, etc.)
AI agents invoke aggregate 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.
The tool actively executes aggregate database queries (COUNT, SUM, AVG, etc.) against ServiceNow. While it appears read-only in nature (aggregating data rather than modifying it), the word 'Run' indicates execution of queries whose scope and targets depend on arguments.
From the tool's definition 'Run aggregate queries (count, sum, avg, etc.)' — executes queries against the ServiceNow database
Attacks that exploit this kind of access
Run aggregate queries (count, sum, avg, etc.). 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 aggregate: 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.
aggregate 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 aggregate 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 aggregate. 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.
aggregate 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.
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