AI agents call get_item_details 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 the Zotero library—specifically fetching details about a paper. It has no capability to modify, delete, or execute operations. The action is read-only and safe, with minimal blast radius if misused by an AI agent (worst case: exposure of library contents the user already has access to).
From the tool's definition Tool name 'get_item_details' and description 'Get detailed information about a specific paper' indicate a retrieval operation with no modification or side effects.
Documented attack patterns abuse exactly the kind of access get_item_details 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 get_item_details:
{
"version": "1",
"default": "deny",
"tools": {
"get_item_details": {}
}
}get_item_details is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get detailed information about a specific paper. 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 get_item_details: 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.
get_item_details 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 get_item_details 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 get_item_details. 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.
get_item_details 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.
Free to start. No card required.
5 MCP Zotero tools catalogued and risk-classified — across an index of 43,000+ MCP servers.