Delete a collection (folder) from your Zotero library. Items inside the collection are NOT deleted — they remain in your library. Requires UNSAFE_OPERATIONS environment variable set to
AI agents call delete_collection to permanently remove resources in Mcp Zotero — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Although items are not deleted, the collection itself is irreversibly removed, which destroys the organizational structure and metadata associations within the user's library. This is an irreversible operation that cannot be easily undone, fitting the Destructive category. The high severity reflects that an AI agent could remove important research organization without user awareness.
From the tool's definition Tool name is 'delete_collection' with description stating 'Delete a collection (folder) from your Zotero library.' The verb 'delete' and the irreversible nature of removing a collection structure qualifies this as destructive.
Documented attack patterns abuse exactly the kind of access delete_collection 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 delete_collection:
{
"version": "1",
"default": "deny",
"hide": [
"delete_collection"
]
} delete_collection disappears from the agent's tool list entirely, and any attempt to call it is denied. The rest of the server keeps working.
Free to start. No card required.
Delete a collection (folder) from your Zotero library. Items inside the collection are NOT deleted — they remain in your library. Requires UNSAFE_OPERATIONS environment variable set to. It is categorised as a Destructive tool in the Mcp Zotero MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Mcp Zotero MCP server in PolicyLayer and add a rule for delete_collection: 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.
delete_collection is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the delete_collection 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 delete_collection. 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.
delete_collection is provided by the Mcp Zotero MCP server (xevos117/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.
13 Mcp Zotero tools catalogued and risk-classified — across an index of 43,000+ MCP servers.