List your configured principles.
AI agents call list_principles to retrieve information from Brain without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves configuration information about principles without modifying, executing, or deleting anything. It is a straightforward read operation on stored data. The severity is low because even if misused by an AI agent, it only exposes configuration metadata without capability to alter system state or access sensitive operational data.
From the tool's definition Tool name 'list_principles' and description 'List your configured principles' indicate a retrieval operation with no side effects. The verb 'List' is characteristic of Read operations that query or retrieve data.
Documented attack patterns abuse exactly the kind of access list_principles gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Brain, and nothing reaches the server without passing your rules. This is the rule we recommend for list_principles:
{
"version": "1",
"default": "deny",
"tools": {
"list_principles": {}
}
} list_principles is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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List your configured principles. It is categorised as a Read tool in the Brain MCP Server, which means it retrieves data without modifying state.
Register the Brain MCP server in PolicyLayer and add a rule for list_principles: 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 Brain. Nothing to install.
list_principles 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_principles 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_principles. 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_principles is provided by the Brain MCP server (mordechaipotash/brain-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Brain, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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34 Brain tools catalogued and risk-classified — across an index of 43,000+ MCP servers.