Get compliance audit trail for the active profile. Returns logged operations (store, retrieve, delete, export) for GDPR and EU AI Act compliance reporting. Args: limit: Maximum audit entries to return (default 50).
AI agents call audit_trail to retrieve information from Qualixar/superlocalmemory without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool purely retrieves existing audit log entries without modifying, deleting, or executing anything. It reads stored operation history (store, retrieve, delete, export events) for compliance purposes. Misuse risk is low — it exposes operational history which could be sensitive metadata, but causes no side effects.
From the tool's definition 'Get compliance audit trail for the active profile' and 'Returns logged operations... for GDPR and EU AI Act compliance reporting'
Documented attack patterns abuse exactly the kind of access audit_trail gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Qualixar/superlocalmemory, and nothing reaches the server without passing your rules. This is the rule we recommend for audit_trail:
{
"version": "1",
"default": "deny",
"tools": {
"audit_trail": {}
}
}audit_trail is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Get compliance audit trail for the active profile. Returns logged operations (store, retrieve, delete, export) for GDPR and EU AI Act compliance reporting. Args: limit: Maximum audit entries to return (default 50). It is categorised as a Read tool in the Qualixar/superlocalmemory MCP Server, which means it retrieves data without modifying state.
Register the Qualixar/superlocalmemory MCP server in PolicyLayer and add a rule for audit_trail: 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 Qualixar/superlocalmemory. Nothing to install.
audit_trail is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the audit_trail 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.
Set action: deny in the PolicyLayer policy for audit_trail. 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.
audit_trail is provided by the Qualixar/superlocalmemory MCP server (qualixar/superlocalmemory). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 59 Qualixar/superlocalmemory tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
59 Qualixar/superlocalmemory tools catalogued and risk-classified — across an index of 42,500+ MCP servers.