recall
AI agents call recall to retrieve information from Agent Memory Bridge without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The name 'recall' strongly implies fetching/querying previously stored information from memory. In the context of a memory bridge server with sibling tools like 'store', 'forget', and 'promote', 'recall' is almost certainly the read/retrieval counterpart to 'store'. No description is provided, so confidence is reduced.
From the tool's definition Tool name 'recall' and server context ('memory for coding agents that turns real sessions into reusable decisions, gotchas, and domain knowledge') suggest retrieval of stored memory entries.
Attacks that exploit this kind of access
recall. It is categorised as a Read tool in the Agent Memory Bridge MCP Server, which means it retrieves data without modifying state.
Register the Agent Memory Bridge 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 Agent Memory Bridge. 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 Agent Memory Bridge MCP server (zzhang82/agent-memory-bridge). 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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