Low Risk

caddy_status

Report Caddy status: admin-API reachability, number of configured sites, and TLS/ACME summary

How to control caddy_status ↓

What caddy_status does on Crow

AI agents call caddy_status to retrieve information from Crow without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why caddy_status needs a policy

This tool retrieves and reports operational status metrics (API reachability, site count, TLS/ACME state) without creating, modifying, deleting, or executing any actions. It is a read-only diagnostic query. Severity is low because the information exposed is non-sensitive operational state that does not expose credentials or secrets, and misuse cannot cause system damage or data loss.

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' indicates retrieval of status information only.

Risk signalsAdmin/system-level operation

Documented attack patterns abuse exactly the kind of access caddy_status gives an agent:

How to control caddy_status

PolicyLayer is an MCP gateway — it sits between your AI agents and Crow, and nothing reaches the server without passing your rules. This is the rule we recommend for caddy_status:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "caddy_status": {}
  }
}

caddy_status is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Crow — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about caddy_status

What does the caddy_status tool do? +

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.

How do I enforce a policy on caddy_status? +

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.

What risk level is caddy_status? +

caddy_status is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit caddy_status? +

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.

How do I block caddy_status completely? +

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.

What MCP server provides caddy_status? +

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.

Enforce policy on every Crow tool call.

Start from Crow, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

576 Crow tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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