AI agents call list_fields to retrieve information from Arkime without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs a query/list operation to retrieve schema or field metadata from Arkime. It has no side effects, creates no data, executes no commands, and cannot delete or modify anything. It is purely informational, enabling users to discover what fields are available for use in other operations.
From the tool's definition Tool description states 'List available Arkime session fields' - a listing operation that retrieves metadata about available fields with no modification or side effects.
Attacks that exploit this kind of access
List available Arkime session fields. Use these field names in search expressions. It is categorised as a Read tool in the Arkime MCP Server, which means it retrieves data without modifying state.
Register the Arkime MCP server in PolicyLayer and add a rule for list_fields: 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 Arkime. Nothing to install.
list_fields 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 list_fields 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 list_fields. 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.
list_fields is provided by the Arkime MCP server (swannman/arkime-mcp-server). 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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