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vgnshiyer

apple-books-mcp

by vgnshiyer

List all annotations

list_all_annotations
Read-only

Retrieve all your Apple Books highlights and notes grouped by book, sorted by most recent first, and page through results to review what you've marked.

Instructions

Browse all annotations grouped by book, most recent first. Rows: [annotation_id] <text> — <chapter title> (ch=<id>), with the user's note, if any, on a second line prefixed with ↳ note:. Pass ch=<id> to get_chapter_content for the chapter, or call get_annotation_context(annotation_id) for the passage around a specific highlight.

Args: limit: Max annotations to return (1–500, default 50). offset: Annotations to skip, for paging; a footer names the next offset when there are more.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
offsetNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.8.4

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds genuine value beyond that: the exact row rendering, the note prefix convention, and the footer that names the next offset, all of which shape how the agent consumes results.

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?

Front-loaded with purpose and output shape, then arguments. Dense but every element (row template, note prefix, paging footer, range) informs correct invocation; nothing is padding.

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?

No output schema exists, so the description rightly specifies the return format and paging footer. Combined with the argument docs, an agent has enough to call and interpret the tool; only the lack of explicit alternative-routing keeps it from full marks.

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 description coverage is 0%, so the description must carry the parameters, and it does: 'limit' is given a range (1-500) and default (50), and 'offset' is explained as the skip count for paging. The 1-500 range is information found nowhere in the schema.

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

Purpose4/5

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

States a specific verb+resource ('Browse all annotations') plus grouping ('by book') and ordering ('most recent first'), which distinguishes it from filtered siblings like search_annotations. It does not explicitly contrast against the closely-named list_annotations or recent_annotations, so it stops short of full sibling differentiation.

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

Usage Guidelines3/5

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

Provides downstream workflow context (pass ch=id to get_chapter_content, call get_annotation_context for a passage) and paging behavior, but never states when to choose this over search_annotations, recent_annotations or get_annotations_by_date_range. Usage is implied rather than framed against alternatives.

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