Low Risk

list_memories

List all memories Args: user_id: User identifier agent_id: Agent identifier run_id: Run/session identifier limit: Maximum number of results (default 100) offset: Offset (default 0) filters: Metadata filters Returns: JSON formatted string

How to control list_memories ↓

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

Low Risk

This tool retrieves and queries memory data without creating, modifying, deleting, or executing operations. It is a straightforward read operation with no destructive or side-effect capability. Severity is low because reading memory metadata has minimal blast radius even if misused by an AI agent.

From the tool's definition Tool name is 'list_memories' and description states 'List all memories'. The arguments (user_id, agent_id, run_id, limit, offset, filters) are all read-only query parameters.

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

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

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

list_memories 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 Mcp Oceanbase — 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.
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Go deeper

What does the list_memories tool do? +

List all memories Args: user_id: User identifier agent_id: Agent identifier run_id: Run/session identifier limit: Maximum number of results (default 100) offset: Offset (default 0) filters: Metadata filters Returns: JSON formatted string. It is categorised as a Read tool in the Mcp Oceanbase MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on list_memories? +

Register the Mcp Oceanbase 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 Mcp Oceanbase. Nothing to install.

What risk level is list_memories? +

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

Can I rate-limit list_memories? +

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.

How do I block list_memories completely? +

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.

What MCP server provides list_memories? +

list_memories is provided by the Mcp Oceanbase MCP server (oceanbase/awesome-oceanbase-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Mcp Oceanbase tool call.

Deterministic rules across all 134 Mcp Oceanbase tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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134 Mcp Oceanbase tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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