rag_search

Search for similar documents without generating context. Returns raw chunk data with scores.

SERVERMCP RAG Server SOURCE0xrdan/mcp-rag-server

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/0xrdan-mcp-rag-server/rag-search.md

WHAT IT DOES

What rag_search does on MCP RAG Server

AI agents call rag_search to retrieve information from MCP RAG Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why rag_search is rated Low

The tool performs document retrieval and search operations ('search for similar documents', 'returns raw chunk data') which is a read-only operation. It queries the knowledge base but does not create, modify, delete, or execute any external operations.

From the tool's definition Tool name: 'rag_search'. Description: 'Search for similar documents without generating context. Returns raw chunk data with scores.' This is a search/query operation that retrieves and returns data with no side effects.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs rag_search safely

PolicyLayer is an MCP gateway: it sits between your AI agents and MCP RAG Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For rag_search, this is the rule to start with:

rag_search Allowed

rag_search is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "rag_search": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect MCP RAG Server, apply this rule, and every rag_search call is checked against it from then on.

FAQ

Questions about rag_search

What does the rag_search tool do? +

Search for similar documents without generating context. Returns raw chunk data with scores. It is categorised as a Read tool in the MCP RAG Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on rag_search? +

Register the MCP RAG Server MCP server in PolicyLayer and add a rule for rag_search: 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 MCP RAG Server. Nothing to install.

What risk level is rag_search? +

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

Can I rate-limit rag_search? +

Yes. Add a rate_limit block to the rag_search 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 rag_search completely? +

Set action: deny in the PolicyLayer policy for rag_search. 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 rag_search? +

rag_search is provided by the MCP RAG Server MCP server (0xrdan/mcp-rag-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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