validate_query
Lint-check a ServiceNow encoded query BEFORE running it: validates javascript: expressions against the safe function allowlist, length limits, and common mistakes (e.g. using = instead of ^, raw spaces). Returns { valid, issues, suggestions }.
This record as markdown: /tools/nowaikit-servicenow-ai-toolkit/validate-query.md
What validate_query does on NowAIKit — ServiceNow AI Toolkit
AI agents call validate_query to retrieve information from NowAIKit — ServiceNow AI Toolkit without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why validate_query is rated Low
validate_query performs static analysis and validation on query syntax without executing any queries, modifying records, or triggering side effects. It is purely informational—helping users catch errors before they run queries. This fits the Read category as it retrieves/reports information about query validity.
From the tool's definition The tool is described as a 'lint-check' that 'validates' and 'returns' analysis results without executing queries or modifying data. It inspects query syntax before execution and produces validation output only.
Attacks that exploit this kind of access
The rule that runs validate_query 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 validate_query, this is the rule to start with:
validate_query is read-only, so it stays allowed. 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 validate_query call is checked against it from then on.
Questions about validate_query
Lint-check a ServiceNow encoded query BEFORE running it: validates javascript: expressions against the safe function allowlist, length limits, and common mistakes (e.g. using = instead of ^, raw spaces). Returns { valid, issues, suggestions }. It is categorised as a Read tool in the NowAIKit — ServiceNow AI Toolkit MCP Server, which means it retrieves data without modifying state.
Register the NowAIKit — ServiceNow AI Toolkit MCP server in PolicyLayer and add a rule for validate_query: 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.
validate_query is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the validate_query 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 validate_query. 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.
validate_query 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.
More on NowAIKit — ServiceNow AI Toolkit, and thousands of servers like it.
This server
Across the catalogue