auto_learn_dependency · Claude Session Continuity MCP

WHAT IT DOES

What auto_learn_dependency does on Claude Session Continuity

AI agents use auto_learn_dependency 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_dependency needs a policy

The tool writes/records dependency change information for future reference during version conflicts or upgrades. It creates or modifies stored records of dependencies, which is a Write operation. It does not execute code or irreversibly destroy data. Confidence is slightly reduced because the description is in Korean and lacks full technical detail about underlying storage mechanisms.

From the tool's definition 의존성 변경 사항을 자동 기록합니다 (Automatically records dependency changes)

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

auto_learn_dependency Rate-limited

auto_learn_dependency 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_dependency": {
      "limits": [
        {
          "counter": "auto_learn_dependency_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_dependency

What does the auto_learn_dependency tool do? +

의존성 변경 사항을 자동 기록합니다. 버전 충돌이나 업그레이드 시 참조합니다. 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_dependency? +

Register the Claude Session Continuity MCP server in PolicyLayer and add a rule for auto_learn_dependency: 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_dependency? +

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

Can I rate-limit auto_learn_dependency? +

Yes. Add a rate_limit block to the auto_learn_dependency 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_dependency completely? +

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

auto_learn_dependency 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.