auto_learn_fix · Claude Session Continuity MCP

WHAT IT DOES

What auto_learn_fix does on Claude Session Continuity

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

WHY IT NEEDS A POLICY

Why auto_learn_fix needs a policy

This tool writes/records error fix patterns to persistent storage so they can be referenced when similar errors occur. It creates or updates stored knowledge about bug fixes. No code is executed, no data is deleted, and no financial operations occur. The blast radius is low since it only stores reference information about fixes.

From the tool's definition 자동 기록합니다 (automatically records) — the tool records/saves error/bug resolution methods for future reference

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

auto_learn_fix Rate-limited

auto_learn_fix 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": {
    "auto_learn_fix": {
      "limits": [
        {
          "counter": "auto_learn_fix_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 Claude Session Continuity, so you can run agents against it safely.

FAQ

Questions about auto_learn_fix

What does the auto_learn_fix tool do? +

에러/버그 해결 방법을 자동 기록합니다. 비슷한 에러 발생 시 참조할 수 있습니다. It is categorised as a Write tool in the Claude Session Continuity MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on auto_learn_fix? +

Register the Claude Session Continuity MCP server in PolicyLayer and add a rule for auto_learn_fix: 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 Claude Session Continuity. Nothing to install.

What risk level is auto_learn_fix? +

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

Can I rate-limit auto_learn_fix? +

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

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

auto_learn_fix is provided by the Claude Session Continuity MCP server (leesgit/claude-session-continuity-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.