update_all_last_editors · MCP Memory Server MCP

WHAT IT DOES

What update_all_last_editors does on MCP Memory Server

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

WHY IT NEEDS A POLICY

Why update_all_last_editors needs a policy

This tool modifies metadata (@last-editor fields) in potentially many files reversibly (updates, not deletes). While the scope is broad—updating 'all files'—the changes are not destructive and can be reverted. The primary risk is unintended side effects from bulk modification across the codebase, justifying medium severity rather than high.

From the tool's definition Tool updates @last-editor fields in all files; 'update' implies modification of metadata across multiple files

Risk signalsBulk/mass operation — affects multiple targets

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

update_all_last_editors Rate-limited

update_all_last_editors 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": {
    "update_all_last_editors": {
      "limits": [
        {
          "counter": "update_all_last_editors_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 MCP Memory Server, so you can run agents against it safely.

FAQ

Questions about update_all_last_editors

What does the update_all_last_editors tool do? +

Update @last-editor fields in all files with Git author information. It is categorised as a Write tool in the MCP Memory Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on update_all_last_editors? +

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

What risk level is update_all_last_editors? +

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

Can I rate-limit update_all_last_editors? +

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

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

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