semantic_search

THE RISK

Low Risk

Why semantic_search needs a policy

The semantic_search tool performs a query operation that retrieves matching documents from the vector database without creating, modifying, or deleting any data. This is a read-only operation typical of search functionality. The natural language query capability and semantic similarity matching do not change the underlying data state.

From the tool's definition Tool description states 'Search for documents using natural language queries. Returns the most semantically similar documents.' The verb 'Search' and explicit return of results indicates data retrieval with no modification or side effects.

Documented attack patterns abuse exactly the kind of access semantic_search gives an agent:

POLICY

How to control semantic_search

PolicyLayer is an MCP gateway — it sits between your AI agents and Qdrant MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for semantic_search:

policy.json

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

semantic_search is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

Create a free account and register Qdrant MCP Server — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

CAP THIS TOOL →

Free to start. No card required.

EXPLORE

Related tools and policies

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about semantic_search

What does the semantic_search tool do? +

Search for documents using natural language queries. Returns the most semantically similar documents. It is categorised as a Read tool in the Qdrant MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on semantic_search? +

Register the Qdrant MCP Server MCP server in PolicyLayer and add a rule for semantic_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 Qdrant MCP Server. Nothing to install.

What risk level is semantic_search? +

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

Can I rate-limit semantic_search? +

Yes. Add a rate_limit block to the semantic_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 semantic_search completely? +

Set action: deny in the PolicyLayer policy for semantic_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 semantic_search? +

semantic_search is provided by the Qdrant MCP Server MCP server (mhalder/qdrant-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Qdrant MCP Server tool call.

Start from Qdrant MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →