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reader_bulk_update_documents

Update multiple documents in Reader in a single request (max 50). Specify each document's ID and optional fields such as title, author, summary, location, tags, and more. Efficiently manage your library.

Instructions

Bulk update multiple documents (max 50 per request).

Args:
    updates: (Required) Array of update objects. Each object must have:
        - id: (Required) Document ID to update
        - title: (Optional) New title
        - author: (Optional) New author
        - summary: (Optional) New summary
        - published_date: (Optional) Publication date (ISO 8601)
        - image_url: (Optional) Cover image URL
        - location: (Optional) New location (new, later, shortlist, archive, feed)
        - category: (Optional) New category (article, email, rss, highlight, note, pdf, epub, tweet, video)
        - tags: (Optional) Replace tags
        - notes: (Optional) Update notes
        - seen: (Optional) Mark as seen/unseen

Returns:
    BulkUpdateResponse with count and results

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
updatesYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
countYes
resultsYes
Behavior4/5

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

The description lists all optional fields and their allowed values (e.g., location enums), adding detail beyond annotations. It also mentions the return type (BulkUpdateResponse). However, it lacks details on error handling (e.g., partial failures) and atomicity, though annotations already note openWorldHint=true.

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 well-structured: a single-sentence purpose, followed by bullet-pointed parameter details. It is concise with no unnecessary text, and the key constraint (max 50) is front-loaded.

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 the output schema exists (BulkUpdateResponse), the description covers input fields thoroughly and mentions the max limit. It could benefit from clarifying error behavior or idempotency, but overall it provides sufficient context for usage.

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?

The schema has 0% description coverage (additionalProperties: true), so the description provides critical meaning by enumerating all valid fields (id, title, author, etc.) and their types. This fully compensates for the schema's lack of structure.

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 explicitly states 'Bulk update multiple documents (max 50 per request)', clearly indicating the tool's purpose. It differentiates from sibling tools like reader_update_document (single) and reader_create_document (creation) by specifying 'bulk update'.

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?

The description implies use for bulk operations with the 'max 50 per request' constraint, and the existence of reader_update_document for single updates provides context. However, it does not explicitly state when to prefer this tool over alternatives or mention when not to use it.

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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