AI agents call get_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.
The tool name 'get_memory' and its position among other memory management tools indicates it retrieves stored memory data without modification. No side effects are implied. The empty description reduces confidence slightly, but the naming pattern and sibling operations (separate read vs. write/destructive functions) provide strong contextual evidence for a Read classification.
From the tool's definition Tool name 'get_memory' implies data retrieval; context shows sibling tools include 'retrieve_memory', 'recall_memory', 'search_by_tag' (all Read operations) and destructive/write operations are separate ('delete_memory', 'store_memory', 'update_memory').
Documented attack patterns abuse exactly the kind of access get_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 get_memory:
{
"version": "1",
"default": "deny",
"tools": {
"get_memory": {}
}
}get_memory is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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get_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 get_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.
get_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 get_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 get_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.
get_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.