Low Risk

memory_audit

memory_audit

How to control memory_audit ↓

What memory_audit does on Locus

AI agents call memory_audit to retrieve information from Locus without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why memory_audit needs a policy

The 'audit' action typically means examining or reviewing state without modification. Given the local persistent memory context and the absence of destructive language in the name, this is most likely a diagnostic read operation. Confidence is moderate (0.7) due to the empty description, but the name strongly suggests inspection rather than mutation.

From the tool's definition Tool name 'memory_audit' suggests inspection/review of stored memory; no description provided. Based on naming convention, 'audit' implies reading/checking status rather than modifying or deleting data.

Documented attack patterns abuse exactly the kind of access memory_audit gives an agent:

How to control memory_audit

PolicyLayer is an MCP gateway — it sits between your AI agents and Locus, and nothing reaches the server without passing your rules. This is the rule we recommend for memory_audit:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "memory_audit": {}
  }
}

memory_audit is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Locus — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
CAP THIS TOOL →

Free to start. No card required.

Related tools and policies

Go deeper

Questions about memory_audit

What does the memory_audit tool do? +

memory_audit. It is categorised as a Read tool in the Locus MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on memory_audit? +

Register the Locus MCP server in PolicyLayer and add a rule for memory_audit: 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 Locus. Nothing to install.

What risk level is memory_audit? +

memory_audit is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit memory_audit? +

Yes. Add a rate_limit block to the memory_audit 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_audit completely? +

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

memory_audit is provided by the Locus MCP server (magnifico4625/locus). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Locus tool call.

Start from Locus, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

17 Locus tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.