AI agents call query_memory to retrieve information from Forgetful without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool name and naming pattern within the server strongly suggest this is a data retrieval operation without side effects. The description is empty, reducing confidence slightly, but the contextual evidence from related tools (create_memory and delete_memory on same server) and the query_ prefix consistently indicates a Read operation that searches or retrieves memory data from the knowledge base.
From the tool's definition Tool name 'query_memory' indicates a retrieval operation. Server context describes 'semantic search and automatic linking' capabilities consistent with Read operations.
Documented attack patterns abuse exactly the kind of access query_memory gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Forgetful, and nothing reaches the server without passing your rules. This is the rule we recommend for query_memory:
{
"version": "1",
"default": "deny",
"tools": {
"query_memory": {}
}
}query_memory is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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query_memory. It is categorised as a Read tool in the Forgetful MCP Server, which means it retrieves data without modifying state.
Register the Forgetful MCP server in PolicyLayer and add a rule for query_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 Forgetful. Nothing to install.
query_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 query_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 query_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.
query_memory is provided by the Forgetful MCP server (scottrbk/forgetful). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 59 Forgetful tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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59 Forgetful tools catalogued and risk-classified — across an index of 42,500+ MCP servers.