Search for relevant memories in one or more spaces.
AI agents call recall to retrieve information from Evermemos without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves information from memory storage without side effects. It performs a query operation across memory spaces to find and return relevant context. No data is created, modified, deleted, or executed—only retrieved. This fits squarely within the Read category.
From the tool's definition The tool 'recall' is described as 'Search for relevant memories in one or more spaces.' The verb 'search' and the function of retrieving/querying stored memories indicates read-only data retrieval with no modification, creation, or deletion of data.
Documented attack patterns abuse exactly the kind of access recall gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Evermemos, and nothing reaches the server without passing your rules. This is the rule we recommend for recall:
{
"version": "1",
"default": "deny",
"tools": {
"recall": {}
}
}recall is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Search for relevant memories in one or more spaces. It is categorised as a Read tool in the Evermemos MCP Server, which means it retrieves data without modifying state.
Register the Evermemos 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 Evermemos. 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 Evermemos MCP server (tt-a1i/evermemos-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Evermemos, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
7 Evermemos tools catalogued and risk-classified — across an index of 43,000+ MCP servers.