Search and activate relevant long-term memories based on current conversation context. Returns activated memories (whose triggers evaluated to true) and random memories for serendipity.
AI agents call search_long_term_memories to retrieve information from Memory MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and queries existing long-term memories without creating, modifying, deleting, or executing any external operations. It is a pure read operation that filters and returns data based on relevance scoring and trigger evaluation. The 'random memories for serendipity' feature is still a retrieval mechanism.
From the tool's definition The tool 'search_long_term_memories' is described as performing a search operation that 'returns activated memories' based on context. The verb 'search' and 'returns' indicate data retrieval with no modification or deletion of the underlying memory store.
Attacks that exploit this kind of access
Search and activate relevant long-term memories based on current conversation context. Returns activated memories (whose triggers evaluated to true) and random memories for serendipity. It is categorised as a Read tool in the Memory MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Memory MCP Server MCP server in PolicyLayer and add a rule for search_long_term_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 Memory MCP Server. Nothing to install.
search_long_term_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 search_long_term_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 search_long_term_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.
search_long_term_memories is provided by the Memory MCP Server MCP server (win10ogod/memory-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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