monitoring_latency_report · MCP: Risk & Policy

WHAT IT DOES

What monitoring_latency_report does on Mcp

AI agents invoke monitoring_latency_report to trigger actions in 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 monitoring_latency_report needs a policy

This tool fetches and processes remote access logs to generate a latency report. It involves executing operations against remote systems (reading nginx logs, computing metrics), which goes beyond a simple read/query — it triggers external log retrieval and processing. The blast radius is moderate: misuse could expose sensitive access log data or consume significant resources, but it doesn't write or delete data.

From the tool's definition Build nginx latency report from remote access logs

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

monitoring_latency_report Rate-limited

monitoring_latency_report 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": {
    "monitoring_latency_report": {
      "limits": [
        {
          "counter": "monitoring_latency_report_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 Mcp, so you can run agents against it safely.

FAQ

Questions about monitoring_latency_report

What does the monitoring_latency_report tool do? +

Build nginx latency report from remote access logs (same rt= metric as Grafana Outvento Response Time). Use when asked to review latency/performance report. It is categorised as a Execute tool in the 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 monitoring_latency_report? +

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

What risk level is monitoring_latency_report? +

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

Can I rate-limit monitoring_latency_report? +

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

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

monitoring_latency_report is provided by the MCP server (victormyschik/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.