log_fix_attempt · Unloop MCP: Risk & Policy

WHAT IT DOES

What log_fix_attempt does on Unloop MCP

AI agents use log_fix_attempt to create or update resources in Unloop MCP — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Unloop MCP environment.

WHY IT NEEDS A POLICY

Why log_fix_attempt needs a policy

log_fix_attempt creates and modifies records of AI coding attempts in a tracking system. While it doesn't delete data (Destructive) or execute arbitrary code (Execute), it does persist information about the AI's actions.

From the tool's definition Tool description states it TRACKS attempts and USES fingerprinting + similarity analysis to detect patterns. The tool STORES/LOGS data about fix attempts, modifications to code, config edits, and install commands.

Risk signalsBulk/mass operation — affects multiple targets

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

log_fix_attempt Rate-limited

log_fix_attempt stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "log_fix_attempt": {
      "limits": [
        {
          "counter": "log_fix_attempt_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

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

FAQ

Questions about log_fix_attempt

What does the log_fix_attempt tool do? +

MANDATORY: Call this EVERY TIME you attempt to fix an error — after every code change, config edit, install command, or any action intended to resolve an error. This tool tracks your attempts and uses fingerprinting + similarity analysis to detect when you. It is categorised as a Write tool in the Unloop MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on log_fix_attempt? +

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

What risk level is log_fix_attempt? +

log_fix_attempt is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit log_fix_attempt? +

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

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

log_fix_attempt is provided by the Unloop MCP server (protonese3/unloop-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.