Low Risk

semantic_search

AI-powered semantic search using embeddings. Finds conceptually related content even without exact keyword matches. Combine with keyword search (search_library, search_fulltext) for comprehensive results.

How to control semantic_search ↓

What semantic_search does on Zotero

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

Low Risk

Why semantic_search needs a policy

This tool performs semantic searching across Zotero's library using embeddings to locate related content. It retrieves and queries data without creating, modifying, deleting, or executing external operations. It has no side effects on the data itself—it only reads and returns results.

From the tool's definition Tool description states it 'Finds conceptually related content' and recommends combining with 'keyword search' for results retrieval. The verb 'search' and function of finding/discovering existing content indicates data retrieval without modification.

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

How to control semantic_search

PolicyLayer is an MCP gateway — it sits between your AI agents and Zotero, 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.

  1. Create a free account and register Zotero — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
CAP THIS TOOL →

Free to start. No card required.

Related tools and policies

Go deeper

Questions about semantic_search

What does the semantic_search tool do? +

AI-powered semantic search using embeddings. Finds conceptually related content even without exact keyword matches. Combine with keyword search (search_library, search_fulltext) for comprehensive results. It is categorised as a Read tool in the Zotero MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on semantic_search? +

Register the Zotero 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 Zotero. 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 Zotero MCP server (zotero-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Zotero tool call.

Start from Zotero, 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.

27 Zotero tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.