memory_log_conversation · OpenClaw Memory MCP: Risk & Policy

WHAT IT DOES

What memory_log_conversation does on OpenClaw Memory

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

WHY IT NEEDS A POLICY

Why memory_log_conversation needs a policy

Based on the server context, this tool likely writes/appends conversation data to local Markdown files for persistent memory. The name suggests logging (writing) conversations. The empty description lowers confidence, but sibling tool 'memory_log_conversation_append' strongly implies this tool creates or writes conversation records. Classified as Write since logging to files is reversible (files can be deleted).

From the tool's definition Tool name 'memory_log_conversation' and server description: 'Automatically records AI conversation turns and code changes to local Markdown files'

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

memory_log_conversation Rate-limited

memory_log_conversation 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": {
    "memory_log_conversation": {
      "limits": [
        {
          "counter": "memory_log_conversation_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 OpenClaw Memory, so you can run agents against it safely.

FAQ

Questions about memory_log_conversation

What does the memory_log_conversation tool do? +

memory_log_conversation. It is categorised as a Write tool in the OpenClaw Memory MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on memory_log_conversation? +

Register the OpenClaw Memory MCP server in PolicyLayer and add a rule for memory_log_conversation: 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 OpenClaw Memory. Nothing to install.

What risk level is memory_log_conversation? +

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

Can I rate-limit memory_log_conversation? +

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

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

memory_log_conversation is provided by the OpenClaw Memory MCP server (liuhao6741/openclaw-memory). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.