execute_correction · Anomaly Detection MCP Server MCP

WHAT IT DOES

What execute_correction does on Anomaly Detection MCP Server

AI agents invoke execute_correction to trigger actions in Anomaly Detection MCP Server. 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 execute_correction needs a policy

This tool triggers corrective actions in response to anomalies, which constitutes code/command execution with real-world side effects on sensor systems or controlled processes. While not immediately destructive (appears reversible), the execution of corrective commands on active systems carries high risk if misused by an agent—it could modify sensor configurations, trigger alarms, or alter operational parameters.

From the tool's definition Tool name is 'execute_correction' and description states 'Execute a correction command to address detected anomalies.' The use of 'Execute' and 'command' indicates the tool runs external operations whose effects depend on arguments.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

execute_correction Rate-limited

execute_correction 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": {
    "execute_correction": {
      "limits": [
        {
          "counter": "execute_correction_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 Anomaly Detection MCP Server, so you can run agents against it safely.

FAQ

Questions about execute_correction

What does the execute_correction tool do? +

Execute a correction command to address detected anomalies. It is categorised as a Execute tool in the Anomaly Detection MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on execute_correction? +

Register the Anomaly Detection MCP Server MCP server in PolicyLayer and add a rule for execute_correction: 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 Anomaly Detection MCP Server. Nothing to install.

What risk level is execute_correction? +

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

Can I rate-limit execute_correction? +

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

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

execute_correction is provided by the Anomaly Detection MCP Server MCP server (javoo-bot/alertium). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.