AI agents call active_memory_slice 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.
The tool name implies a data retrieval operation ('slice' of memory) consistent with the read-only memory access pattern established by peer tools on this server. Without a description, confidence is reduced, but the context strongly suggests this queries or retrieves memory without modification. No data destruction, code execution, or financial operations are indicated.
From the tool's definition Tool name 'active_memory_slice' suggests retrieving a subset or snapshot of active memory. The description is empty, but the naming pattern aligns with sibling tools like 'memory_get', 'memory_recall', and 'memory_remind', which are all read operations…
Documented attack patterns abuse exactly the kind of access active_memory_slice 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 active_memory_slice:
{
"version": "1",
"default": "deny",
"tools": {
"active_memory_slice": {}
}
} active_memory_slice is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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active_memory_slice. 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 active_memory_slice: 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.
active_memory_slice 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 active_memory_slice 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 active_memory_slice. 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.
active_memory_slice 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.
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14 Cortex tools catalogued and risk-classified — across an index of 42,500+ MCP servers.