ragionex_update_memory · Ragionex Memory MCP: Risk & Policy

WHAT IT DOES

What ragionex_update_memory does on Ragionex Memory MCP

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

WHY IT NEEDS A POLICY

Why ragionex_update_memory needs a policy

This tool modifies existing memory records by changing their content or relocating them between projects. These are reversible write operations—the previous state can be recovered or the update can be undone by applying a new update. It does not delete data (which would be Destructive) nor execute arbitrary code (which would be Execute).

From the tool's definition Tool name contains 'update' and description states 'Replace the content or move to a different project for an existing memory.' The verb 'replace' and 'move' indicate modification of existing data.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

ragionex_update_memory Rate-limited

ragionex_update_memory 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": {
    "ragionex_update_memory": {
      "limits": [
        {
          "counter": "ragionex_update_memory_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 Ragionex Memory MCP, so you can run agents against it safely.

FAQ

Questions about ragionex_update_memory

What does the ragionex_update_memory tool do? +

Replace the content or move to a different project for an existing memory. Provide at least one of content or project. Updating content reprocesses the memory (status returns to. It is categorised as a Write tool in the Ragionex Memory 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 ragionex_update_memory? +

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

What risk level is ragionex_update_memory? +

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

Can I rate-limit ragionex_update_memory? +

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

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

ragionex_update_memory is provided by the Ragionex Memory MCP server (ragionex/memory-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.