AI agents call search_library to retrieve information from MCP Zotero without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and queries data from a user's Zotero library without modifying, deleting, or executing any operations. It is a standard read operation. Severity is low because the blast radius of misuse is limited to information disclosure from the user's own reference library, which is typically non-sensitive research data.
From the tool's definition Tool name is 'search_library' and description states 'Search your entire Zotero library' - search operations are read-only queries with no side effects.
Risk signalsBulk/mass operation — affects multiple targets
Documented attack patterns abuse exactly the kind of access search_library gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MCP Zotero, and nothing reaches the server without passing your rules. This is the rule we recommend for search_library:
{
"version": "1",
"default": "deny",
"tools": {
"search_library": {}
}
}search_library is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Search your entire Zotero library. It is categorised as a Read tool in the MCP Zotero MCP Server, which means it retrieves data without modifying state.
Register the MCP Zotero MCP server in PolicyLayer and add a rule for search_library: 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 Zotero. Nothing to install.
search_library 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 search_library 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 search_library. 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.
search_library is provided by the MCP Zotero MCP server (kaliaboi/mcp-zotero). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MCP Zotero, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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5 MCP Zotero tools catalogued and risk-classified — across an index of 43,000+ MCP servers.