Audit graph quality: orphans, dead links, one-way links, hubs, and stale edges.
AI agents call memory_graph_audit to retrieve information from Cortex without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs read-only analysis of a knowledge graph to identify quality issues (orphaned nodes, broken references, directional asymmetries, hub patterns, stale relationships). It retrieves and evaluates metadata but does not create, modify, delete, or execute operations. The blast radius of misuse is minimal—an AI agent could only waste resources analyzing irrelevant data or generate noisy diagnostics.
From the tool's definition The tool name 'memory_graph_audit' and description 'Audit graph quality: orphans, dead links, one-way links, hubs, and stale edges' indicate inspection and analysis of existing data structure properties.
Documented attack patterns abuse exactly the kind of access memory_graph_audit gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Cortex, and nothing reaches the server without passing your rules. This is the rule we recommend for memory_graph_audit:
{
"version": "1",
"default": "deny",
"tools": {
"memory_graph_audit": {}
}
}memory_graph_audit 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.
Audit graph quality: orphans, dead links, one-way links, hubs, and stale edges. It is categorised as a Read tool in the Cortex MCP Server, which means it retrieves data without modifying state.
Register the Cortex MCP server in PolicyLayer and add a rule for memory_graph_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 Cortex. Nothing to install.
memory_graph_audit 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 memory_graph_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.
Set action: deny in the PolicyLayer policy for memory_graph_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.
memory_graph_audit is provided by the Cortex MCP server (tt-wang/memem). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 14 Cortex tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
14 Cortex tools catalogued and risk-classified — across an index of 42,500+ MCP servers.