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.
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.
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:
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:
{
"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.
Free to start. No card required.
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.
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.
semantic_search 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 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.
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.
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.
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.