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Permanently delete Zotero items

zotero_delete_items
Destructive

Permanently purge Zotero items by key with explicit confirmation. Irreversible; use trash for reversible removal. Requires ZOTEUS_ALLOW_DELETE=true.

Instructions

PERMANENTLY and IRREVERSIBLY delete items by key (this purges them — it is NOT the trash). Prefer zotero_trash_items, which is reversible. This tool is disabled unless the server is started with ZOTEUS_ALLOW_DELETE=true, and additionally requires confirm: true on every call. For the personal library it goes through the running Zotero desktop app when that app supports local-API writes, otherwise the cloud Web API. The current library version is used as a precondition; the operation auto-chunks to 50 keys per request.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
confirmNoMust be true to proceed with permanent deletion.
item_keysYesItem keys to permanently delete.
library_idNo
library_typeNo
Behavior5/5

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

Annotations already mark destructiveHint=true, but the description adds critical details: the operation is irreversible and purges (not trash), requires explicit confirmation, is disabled without a server flag, and routes via local app or cloud API. It also notes the library version precondition and auto-chunking, going well beyond the annotations.

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

Conciseness5/5

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

The description is a single, dense paragraph that front-loads the critical warning and then details requirements and behavior. Every sentence adds essential information with no redundancy, making it appropriately concise for a high-stakes operation.

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?

For a destructive tool with no output schema, the description fully covers safety (irreversible, requires confirm), operational prerequisites (server flag), behavioral specifics (chunk size, library version precondition), and routing (local app vs. cloud API). It gives an agent everything needed to decide and invoke correctly.

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

Parameters4/5

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

Schema covers confirm and item_keys with descriptions (50% coverage), and the description reinforces their meaning: 'requires `confirm: true`' and 'delete items by key.' It also mentions auto-chunking to 50 keys, which adds operational context. However, it does not explain library_id/library_type beyond the schema, so it doesn't fully compensate for the 50% gap.

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 states 'PERMANENTLY and IRREVERSIBLY delete items by key' with a specific verb and resource, and explicitly distinguishes from the reversible 'zotero_trash_items'. This clearly defines the tool's unique function among siblings.

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?

The description explicitly says 'Prefer zotero_trash_items, which is reversible' and details the server flag requirement and the `confirm: true` prerequisite. This provides clear when-to-use and when-not-to-use guidance, plus operational constraints.

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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