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zotero-mcp-server

Delete Zotero Item

zotero_delete_item
DestructiveIdempotent

Remove an item from your Zotero library. Default action moves it to trash for recovery; permanent option irreversibly deletes it.

Instructions

Delete an item from the Zotero library.

Args:

  • item_key (string, required)

  • current_version (number, required): the item's version from zotero_get_item, to confirm you're deleting the version you expect

  • permanent (boolean, default false): false moves the item to the trash (recoverable); true erases it irreversibly

This is a destructive operation, and the library is synced - the deletion propagates to the user's desktop Zotero and any other synced device. Always confirm with the user before calling this. Never pass permanent=true unless the user has explicitly asked for irreversible deletion; the default trash behaviour leaves them able to undo it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
item_keyYes
permanentNofalse (default) moves the item to the Zotero trash, where the user can restore it. true deletes it outright with NO way to recover it. Only pass true if the user explicitly asked for permanent/irreversible deletion.
current_versionYesThe item's current 'version', from zotero_get_item - required to confirm you are deleting the version you intended
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Despite annotations already indicating destructiveHint=true, the description adds critical context: the deletion propagates across synced devices, the difference between trash and permanent deletion, and the need for user confirmation. This goes beyond annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is organized with an Args section but could be slightly more concise. However, every sentence adds value, and the structure is clear.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool is destructive with no output schema, the description fully covers safety (user confirmation, syncing propagation, trash vs permanent), parameter usage, and expected behavior. It is complete for the tool's complexity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Each parameter is explained: item_key required, current_version for version confirmation (referencing zotero_get_item), and permanent with default false and behavioral consequences. Schema description covers 67% of parameters, but description adds meaning for item_key and clarifies rationale.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Delete an item from the Zotero library,' using a specific verb and resource. It distinguishes from sibling tools like zotero_update_item and zotero_create_item.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly instructs to confirm with the user before calling, warns against passing permanent=true unless irreversible deletion is requested, and clarifies that default trash behavior allows undo. This provides clear when-to-use and when-not-to-use guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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