AI agents call list_memories to retrieve information from Mem0 without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool retrieves or queries data (memory records) with no side effects. It does not create, modify, or delete data. Despite empty description, the name and context strongly indicate this is a read operation with low blast radius if misused by an AI agent.
From the tool's definition Tool name 'list_memories' indicates a retrieval operation. No description provided, but sibling tools (add_memory, delete_memory, update_memory, search_memories, get_memory) establish this server's purpose as memory management.
Attacks that exploit this kind of access
list_memories. It is categorised as a Read tool in the Mem0 MCP Server, which means it retrieves data without modifying state.
Register the Mem0 MCP server in PolicyLayer and add a rule for list_memories: 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 Mem0. Nothing to install.
list_memories 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 list_memories 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 list_memories. 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.
list_memories is provided by the Mem0 MCP server (olk/mem0-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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