Retrieve specific memories. Either by ID (exact recall) or by
AI agents call memory.recall to retrieve information from Sylex Memory without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs a read-only operation that fetches data from encrypted memory storage without side effects. The verb 'recall' and context of retrieving memories (either by ID or presumably by search/filter) is purely informational.
From the tool's definition Tool name 'memory.recall' and description 'Retrieve specific memories' indicate a retrieval/query operation with no modification or deletion of data.
Attacks that exploit this kind of access
Retrieve specific memories. Either by ID (exact recall) or by. It is categorised as a Read tool in the Sylex Memory MCP Server, which means it retrieves data without modifying state.
Register the Sylex Memory MCP server in PolicyLayer and add a rule for memory.recall: 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 Sylex Memory. Nothing to install.
memory.recall 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 memory.recall 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 memory.recall. 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.
memory.recall is provided by the Sylex Memory MCP server (mastadoonprime/sylex-memory). 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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