AI agents call recall_memory to retrieve information from Superkit without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
topK | number | — | Number of memories to return |
query | string | Yes | What to search for in past memories |
Parameters from the server's own tool schema.
This tool performs a search operation that retrieves previously stored memories based on semantic similarity. It has no side effects—it only reads and returns data without creating, modifying, deleting, or executing operations. The blast radius of misuse is minimal; an AI agent could only retrieve stored information, not alter it or cause external effects.
From the tool's definition Tool name 'recall_memory' and description 'Search cross-session memories by semantic similarity. Returns memories...' indicate a retrieval/query operation with no modification of data.
Risk signalsAccepts freeform code/query input (query)
Attacks that exploit this kind of access
Search cross-session memories by semantic similarity. Returns memories stored via store_session_memory, ordered by relevance. It is categorised as a Read tool in the Superkit MCP Server, which means it retrieves data without modifying state.
recall_memory accepts 2 parameters: topK, query. Required: query. The full parameter table on this page comes from the server's own tool schema.
Register the Superkit MCP server in PolicyLayer and add a rule for recall_memory: 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 Superkit. Nothing to install.
recall_memory 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_memory 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_memory. 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_memory is provided by the Superkit MCP server (superkit-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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