Retrieve notes that are semantically similar to a query for RAG
AI agents call retrieve_for_rag to retrieve information from Bear Notes MCP Server with RAG without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and retrieves data from a personal knowledge base without creating, modifying, deleting, or executing any operations. The semantic search and RAG functionality are purely informational retrieval mechanisms. The blast radius of misuse is minimal—an agent could only access existing notes the user has stored, not alter or destroy them.
From the tool's definition Tool description explicitly states 'Retrieve notes' with semantic search for RAG purposes. The sibling tools (get_note, get_tags, search_notes) all indicate this is a read-only retrieval operation with no modification or deletion capability.
Documented attack patterns abuse exactly the kind of access retrieve_for_rag gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Bear Notes MCP Server with RAG, and nothing reaches the server without passing your rules. This is the rule we recommend for retrieve_for_rag:
{
"version": "1",
"default": "deny",
"tools": {
"retrieve_for_rag": {}
}
}retrieve_for_rag is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Retrieve notes that are semantically similar to a query for RAG. It is categorised as a Read tool in the Bear Notes MCP Server with RAG MCP Server, which means it retrieves data without modifying state.
Register the Bear Notes MCP Server with RAG MCP server in PolicyLayer and add a rule for retrieve_for_rag: 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 Bear Notes MCP Server with RAG. Nothing to install.
retrieve_for_rag 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 retrieve_for_rag 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 retrieve_for_rag. 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.
retrieve_for_rag is provided by the Bear Notes MCP Server with RAG MCP server (ruanodendaal/bear-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Bear Notes MCP Server with RAG, 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.
4 Bear Notes MCP Server with RAG tools catalogued and risk-classified — across an index of 43,000+ MCP servers.