search_memory

Hybrid search with intelligent cache/cloud routing and relevance scoring

Server r3 (Recall) n3wth/r3
Category Read
Risk class Low
Parameters 00 required

What search_memory does on r3 (Recall)

AI agents call search_memory to retrieve information from r3 (Recall) without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why search_memory needs a policy

This tool retrieves or queries data from memory storage (local Redis cache and optional cloud) and returns results with relevance scores. It performs semantic search—a read-only operation with no side effects on the underlying data. While it may invoke cloud routing logic, the tool's primary function is data retrieval, not creation, modification, deletion, or execution of arbitrary code.

From the tool's definition Tool name 'search_memory' and description 'Hybrid search with intelligent cache/cloud routing and relevance scoring' indicate a retrieval operation with no modification or deletion of data.

Questions about search_memory

What does the search_memory tool do? +

Hybrid search with intelligent cache/cloud routing and relevance scoring. It is categorised as a Read tool in the r3 (Recall) MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on search_memory? +

Register the r3 (Recall) MCP server in PolicyLayer and add a rule for search_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 r3 (Recall). Nothing to install.

What risk level is search_memory? +

search_memory is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit search_memory? +

Yes. Add a rate_limit block to the search_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.

How do I block search_memory completely? +

Set action: deny in the PolicyLayer policy for search_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.

What MCP server provides search_memory? +

search_memory is provided by the r3 (Recall) MCP server (n3wth/r3). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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