scite_enrich_search

A read tool on the Zotero MCP server.

SERVERZotero MCP SOURCEpypi:zotero-mcp-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/54yyyu-zotero-mcp/scite-enrich-search.md

WHAT IT DOES

What scite_enrich_search does on Zotero MCP

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

RISK

Why scite_enrich_search is rated Low

Based on the server's purpose (accessing and searching research libraries) and the naming pattern of sibling tools, 'scite_enrich_search' most likely retrieves and enriches search results with additional metadata or citation information from the scite service. This is a Read operation with no side effects.

From the tool's definition Tool name 'scite_enrich_search' suggests enriching search results; sibling tools on this server are primarily Read operations (search, fetch) and Write operations (zotero_add_*).

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs scite_enrich_search safely

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

scite_enrich_search Allowed

scite_enrich_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": {
    "scite_enrich_search": {}
  }
}

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

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

FAQ

Questions about scite_enrich_search

What does the scite_enrich_search tool do? +

scite_enrich_search is a read tool on the Zotero MCP server. It is categorised as a Read tool in the Zotero MCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on scite_enrich_search? +

Register the Zotero MCP server in PolicyLayer and add a rule for scite_enrich_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 MCP. Nothing to install.

What risk level is scite_enrich_search? +

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

Can I rate-limit scite_enrich_search? +

Yes. Add a rate_limit block to the scite_enrich_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 scite_enrich_search completely? +

Set action: deny in the PolicyLayer policy for scite_enrich_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 scite_enrich_search? +

scite_enrich_search is provided by the Zotero MCP server (pypi:zotero-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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