rc_reload_rules · Rootcause MCP: Risk & Policy

WHAT IT DOES

What rc_reload_rules does on Rootcause

AI agents invoke rc_reload_rules to trigger actions in Rootcause. 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 rc_reload_rules needs a policy

Reloading rules from YAML files is an execution action that modifies the runtime configuration of the classification system. It is not a simple read (it changes state) nor a write (it doesn't store new data), but it executes a reload operation that affects how the system classifies incidents going forward. Misuse could cause the system to apply incorrect or malicious rules to clinical incident analysis.

From the tool's definition 'Reload classification rules from YAML files' — triggers an operational action that re-reads and applies configuration files, changing system behavior

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

rc_reload_rules Rate-limited

rc_reload_rules 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": {
    "rc_reload_rules": {
      "limits": [
        {
          "counter": "rc_reload_rules_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 Rootcause, so you can run agents against it safely.

FAQ

Questions about rc_reload_rules

What does the rc_reload_rules tool do? +

Reload classification rules from YAML files. It is categorised as a Execute tool in the Rootcause MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on rc_reload_rules? +

Register the Rootcause MCP server in PolicyLayer and add a rule for rc_reload_rules: 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 Rootcause. Nothing to install.

What risk level is rc_reload_rules? +

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

Can I rate-limit rc_reload_rules? +

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

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

rc_reload_rules is provided by the Rootcause MCP server (u9401066/rootcause-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.