Rename or move an existing collection. Provide name to rename, parentCollection to move (empty string moves to top level).
AI agents use update_collection to create or update resources in Zotero — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Zotero environment.
This tool creates or modifies data (collection name and hierarchy) without permanently removing anything. Renaming and moving are reversible operations, making it a Write rather than Destructive action. The scope is limited to collection organization within a reference management system, so severity is medium rather than high.
From the tool's definition Tool description states 'Rename or move an existing collection' — these are reversible modifications to collection metadata. The parameters (name, parentCollection) confirm structural updates rather than deletion or data destruction.
Documented attack patterns abuse exactly the kind of access update_collection 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 update_collection:
{
"version": "1",
"default": "deny",
"tools": {
"update_collection": {
"limits": [
{
"counter": "update_collection_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} update_collection stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
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Rename or move an existing collection. Provide name to rename, parentCollection to move (empty string moves to top level). It is categorised as a Write tool in the Zotero MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Zotero MCP server in PolicyLayer and add a rule for update_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 Zotero. Nothing to install.
update_collection is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the update_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 update_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.
update_collection 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.
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27 Zotero tools catalogued and risk-classified — across an index of 43,000+ MCP servers.