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batch_organize

Bulk-organize Zotero items by adding tags and/or moving them to a collection in one operation, with built-in handling for rate limits and version conflicts.

Instructions

Add tags and/or move multiple items to a collection in one operation. Use this for bulk organization — e.g. tagging a set of search results or grouping papers into a collection. Handles rate limiting and version conflicts.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tagsNo
item_keysYes
collection_keyNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Install Server

TDQS

A4.2/5.0
Behavior4/5

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

The description adds useful behavioral context by stating that the tool handles rate limiting and version conflicts, information not present in the annotations. It does not explain the conflict-resolution mechanism, but given that readOnlyHint and destructiveHint already cover the mutability profile, this is sufficient extra transparency.

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 three short sentences with the core operation front-loaded. The usage example and the rate-limit/version-conflict note each add value without redundancy.

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

Completeness4/5

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

Given a simple three-parameter schema, existing annotations, and an output schema, the description covers the essential purpose, usage context, and key runtime behaviors. Minor gaps remain around version-conflict outcomes and parameter format details, but they do not prevent an agent from selecting and invoking the tool correctly.

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

Parameters3/5

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

With 0% schema description coverage, the description provides the only semantic mapping for the parameters: tags are added, item_keys identify the multiple items, and collection_key is the destination collection. The 'and/or' wording implies optionality, but it does not clarify the accepted string/array/null forms or the exact relationship between the fields.

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 opens with a specific verb/resource combination: adding tags and/or moving multiple items to a collection in one operation. The 'multiple items' and 'one operation' phrasing distinguishes this bulk tool from single-item siblings like add_to_collection and manage_tags, even without naming them.

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

Usage Guidelines4/5

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

'Use this for bulk organization' is an explicit when-to-use directive, reinforced with concrete examples such as tagging search results and grouping papers into a collection. It does not state when not to use it or explicitly name a single-item alternative, so it misses the top score.

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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