AI agents call leql_help to retrieve information from Rapid7 without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This is a documentation/reference tool that returns static help content about query language syntax. It does not execute queries, access logs, modify data, or trigger external operations. It is purely informational and read-only in nature.
From the tool's definition Tool name 'leql_help' and description explicitly state it retrieves 'LEQL syntax reference, examples, and common patterns' — providing documentation and help information without accessing live data or logs.
Attacks that exploit this kind of access
Get LEQL (Log Entry Query Language) syntax reference, examples, and common patterns for InsightIDR log searches. It is categorised as a Read tool in the Rapid7 MCP Server, which means it retrieves data without modifying state.
Register the Rapid7 MCP server in PolicyLayer and add a rule for leql_help: 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 Rapid7. Nothing to install.
leql_help 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 leql_help 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 leql_help. 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.
leql_help is provided by the Rapid7 MCP server (solomonneas/rapid7-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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