caddy_status
Report Caddy status: admin-API reachability, number of configured sites, and TLS/ACME summary
This record as markdown: /tools/kh0pper-crow/caddy-status.md
What caddy_status does on Crow
AI agents call caddy_status to retrieve information from Crow without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why caddy_status is rated Low
The tool retrieves and reports configuration and health status of a Caddy reverse proxy (admin-API reachability, site count, TLS/ACME state). This is a read-only operation with no side effects, no data modification, and no external execution. It poses minimal risk even if called by an AI agent, as it only exposes existing state information.
From the tool's definition Tool name 'caddy_status' and description 'Report Caddy status: admin-API reachability, number of configured sites, and TLS/ACME summary' indicate a query/reporting function that retrieves status information without modifying or executing operations.
Risk signalsAdmin/system-level operation
Attacks that exploit this kind of access
The rule that runs caddy_status safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Crow, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For caddy_status, this is the rule to start with:
caddy_status 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 Crow, apply this rule, and every caddy_status call is checked against it from then on.
Questions about caddy_status
Report Caddy status: admin-API reachability, number of configured sites, and TLS/ACME summary. It is categorised as a Read tool in the Crow MCP Server, which means it retrieves data without modifying state.
Register the Crow MCP server in PolicyLayer and add a rule for caddy_status: 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 Crow. Nothing to install.
caddy_status 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 caddy_status 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 caddy_status. 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.
caddy_status is provided by the Crow MCP server (kh0pper/crow). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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