elfa_reload_env · CG Alpha MCP: Risk & Policy

WHAT IT DOES

What elfa_reload_env does on CG Alpha MCP

AI agents invoke elfa_reload_env to trigger actions in CG Alpha MCP. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

WHY IT NEEDS A POLICY

Why elfa_reload_env needs a policy

Reloading .env files triggers a filesystem read and runtime environment reload operation — it actively modifies the running process's environment state. This goes beyond a passive read, as it can change configuration values (e.g., API keys, base URLs, auth tokens) affecting subsequent tool behavior.

From the tool's definition Reload .env files from common locations

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

elfa_reload_env Rate-limited

elfa_reload_env 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.

View as policy code

policy.json

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

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches CG Alpha MCP, so you can run agents against it safely.

FAQ

Questions about elfa_reload_env

What does the elfa_reload_env tool do? +

Reload .env files from common locations. It is categorised as a Execute tool in the CG Alpha MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on elfa_reload_env? +

Register the CG Alpha MCP server in PolicyLayer and add a rule for elfa_reload_env: 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 CG Alpha MCP. Nothing to install.

What risk level is elfa_reload_env? +

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

Can I rate-limit elfa_reload_env? +

Yes. Add a rate_limit block to the elfa_reload_env 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 elfa_reload_env completely? +

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

elfa_reload_env is provided by the CG Alpha MCP server (jcf0/cg-alpha-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.