recall
AI agents call recall to retrieve information from SAE4U Memory without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The 'recall' tool retrieves stored memory data from the SAE4U Memory system. Despite the empty description, the sibling tools and server documentation establish this as a read-only operation that queries hierarchical memory storage without modifying, executing, or deleting data. This is a typical information retrieval function with minimal blast radius.
From the tool's definition Tool name 'recall' and server function provide 'persistent memory' and 'cross-corpus recall', indicating data retrieval.
Attacks that exploit this kind of access
recall. It is categorised as a Read tool in the SAE4U Memory MCP Server, which means it retrieves data without modifying state.
Register the SAE4U Memory MCP server in PolicyLayer and add a rule for 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 SAE4U Memory. Nothing to install.
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 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 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.
recall is provided by the SAE4U Memory MCP server (simple4uhq/sae4u-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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