analyze_log_file · Mcp Log Analyzer MCP: Risk & Policy

WHAT IT DOES

What analyze_log_file does on Mcp Log Analyzer

AI agents invoke analyze_log_file to trigger actions in Mcp Log Analyzer. 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 analyze_log_file needs a policy

This tool initiates an asynchronous job that reads local log files, runs them through Ollama (local LLM execution), and automatically files GitHub Issues based on the results. The automatic issue filing is a Write-level external side effect, but the broader orchestration of spawning async jobs and triggering external API calls (GitHub) qualifies it as Execute.

From the tool's definition 'Start async log analysis' and 'files structured GitHub Issues automatically' — triggers external operations (GitHub Issue creation) and runs local Ollama processing asynchronously

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

analyze_log_file Rate-limited

analyze_log_file 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": {
    "analyze_log_file": {
      "limits": [
        {
          "counter": "analyze_log_file_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 Log Analyzer, so you can run agents against it safely.

FAQ

Questions about analyze_log_file

What does the analyze_log_file tool do? +

Start async log analysis. Returns job_id immediately. Use get_job_status to check progress. It is categorised as a Execute tool in the Mcp Log Analyzer MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on analyze_log_file? +

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

What risk level is analyze_log_file? +

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

Can I rate-limit analyze_log_file? +

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

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

analyze_log_file is provided by the Mcp Log Analyzer MCP server (mashish/nft-log-analyzer). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.