Audit Kage setup across supported agents, including Claude Code ambient hook readiness when applicable.
AI agents call kage_setup_doctor to retrieve information from Kage without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool performs a setup audit/diagnostic check across agent configurations. Auditing and readiness checks are read-only operations that inspect system state without creating, modifying, or deleting data. Low severity as it only reads configuration information.
From the tool's definition 'Audit Kage setup' — auditing/diagnostic operation that reads and checks configuration state without modifying anything
Documented attack patterns abuse exactly the kind of access kage_setup_doctor gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Kage, and nothing reaches the server without passing your rules. This is the rule we recommend for kage_setup_doctor:
{
"version": "1",
"default": "deny",
"tools": {
"kage_setup_doctor": {}
}
} kage_setup_doctor is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Audit Kage setup across supported agents, including Claude Code ambient hook readiness when applicable. It is categorised as a Read tool in the Kage MCP Server, which means it retrieves data without modifying state.
Register the Kage MCP server in PolicyLayer and add a rule for kage_setup_doctor: 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 Kage. Nothing to install.
kage_setup_doctor 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 kage_setup_doctor 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 kage_setup_doctor. 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.
kage_setup_doctor is provided by the Kage MCP server (@kage-core/kage-graph-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Kage, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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62 Kage tools catalogued and risk-classified — across an index of 43,000+ MCP servers.