AI agents call retrieve_memory to retrieve information from Memlord without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
retrieve_memory appears to read stored memory data without side effects. No description was provided, which slightly lowers confidence, but the naming convention and context of sibling tools (which separately handle write, update, and delete operations) strongly suggests this is a read-only operation. The blast radius of misuse is low—an attacker gaining access to memories stored by the user.
From the tool's definition Tool name 'retrieve_memory' indicates data retrieval without modification. Sibling tools include 'get_memory', 'list_memories', 'recall_memory', and 'search_by_tag' which are clearly read operations, and destructive operations ('delete_memory') and write…
Documented attack patterns abuse exactly the kind of access retrieve_memory gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Memlord, and nothing reaches the server without passing your rules. This is the rule we recommend for retrieve_memory:
{
"version": "1",
"default": "deny",
"tools": {
"retrieve_memory": {}
}
}retrieve_memory is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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retrieve_memory. It is categorised as a Read tool in the Memlord MCP Server, which means it retrieves data without modifying state.
Register the Memlord MCP server in PolicyLayer and add a rule for retrieve_memory: 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 Memlord. Nothing to install.
retrieve_memory 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 retrieve_memory 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 retrieve_memory. 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.
retrieve_memory is provided by the Memlord MCP server (myrikld/memlord). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Memlord, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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10 Memlord tools catalogued and risk-classified — across an index of 43,000+ MCP servers.