caddy_reload

THE RISK

High Risk

Why caddy_reload needs a policy

This tool triggers an external operation — reloading the Caddy web server configuration. While it validates first, 'apply' means it actively changes the running server's behavior. This is an Execute action with high severity because a misconfigured or malicious Caddyfile reload could disrupt web services, redirect traffic, break TLS, or expose internal services.

From the tool's definition "Validate and apply the current Caddyfile via Caddy"

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

POLICY

How to control caddy_reload

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_reload:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "caddy_reload": {
      "limits": [
        {
          "counter": "caddy_reload_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

caddy_reload stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

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

RATE-LIMIT THIS TOOL →

Free to start. No card required.

EXPLORE

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Go deeper

High-risk tools in Crow → Every high-risk tool this server exposes, in one view.
All high-risk MCP tools → Every high-risk tool across the catalogue, and the policy pattern that contains them.
The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Agent sandbox → Bounding what an agent can execute and where the boundary should sit.
Least privilege for MCP → Granting agents the minimum tool surface the task needs.
Rate Limiting MCP Tool Calls: A Practical Guide →
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FAQ

Questions about caddy_reload

What does the caddy_reload tool do? +

Validate and apply the current Caddyfile via Caddy. It is categorised as a Execute tool in the Crow MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on caddy_reload? +

Register the Crow MCP server in PolicyLayer and add a rule for caddy_reload: 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_reload? +

caddy_reload is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit caddy_reload? +

Yes. Add a rate_limit block to the caddy_reload 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_reload completely? +

Set action: deny in the PolicyLayer policy for caddy_reload. 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_reload? +

caddy_reload 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.

CHECK YOUR STACK →