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Glama

read_chapter

Read a single chapter of a purchased book by chapter number, instead of downloading the entire book at once. Pass the download_url from the purchase response and the 1-based chapter number (call list_chapters first to see what's available). Returns that chapter's text plus the LICENSE.json and AGENTS.md. Reading chapters does not consume the download allowance.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chapterYes1-based chapter number to read
download_urlYesThe full download URL from the purchase response

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.6/5.0
Behavior4/5

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

With no annotations provided, the description carries the transparency burden. It discloses that reading does not consume the download allowance and specifies the return payload (chapter text plus LICENSE.json and AGENTS.md). It lacks explicit statement about side effects, but 'read' implies a non-destructive operation.

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 sentences, front-loaded with the core purpose, and every sentence provides useful information. No redundant or filler content.

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 no output schema, the description explains the return value (chapter text plus LICENSE.json and AGENTS.md) and the key behavioral characteristic (no download allowance usage). It also covers prerequisites. Minor gaps like error handling are absent, but for a simple 2-parameter read tool, it is sufficiently complete.

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 coverage is 100%, but the description adds meaning by stating the download_url must come from the purchase response and that the chapter is 1-based, reinforcing the need to call list_chapters first. This adds practical context beyond the schema descriptions.

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 the tool reads a single chapter of a purchased book by chapter number, explicitly contrasting with downloading the entire book. This distinguishes it from sibling tools like download_book and list_chapters.

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?

It provides explicit usage instructions: pass the download_url from the purchase response and the 1-based chapter number, and call list_chapters first. It also frames the tool as an alternative to downloading the whole book, giving clear when-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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TDQS

B3.4/5.0
Disambiguation2/5

Several tools have overlapping purposes. For example, list_my_books and my_books both list authored books, and author_dashboard is a superset; list_orders and my_orders are near-duplicates; check_earnings and payout_balance both report earnings. This creates confusion and risks misselection.

Naming Consistency2/5

Naming is inconsistent. While many tools use verb_noun (list_annotations, get_book_details), others use my_* (my_books, my_orders), bare nouns (payout_balance), or compound verbs (connect_onboard). The lack of a uniform pattern makes the set feel disjointed.

Tool Count2/5

49 tools is excessive for a server, especially with at least three sets of near-duplicates. The platform is complex, but many tools could be merged (e.g., my_books and list_my_books, list_orders and my_orders). This count will overwhelm agents and increase misselection risk.

Completeness4/5

The toolset covers the core domain well: discover, purchase, read, comment, review, annotate, publish, monetize, verify, and manage payouts. Minor gaps exist, such as no update/delete annotation, no delete review, and no single-item getter for annotations/reviews, but these are not critical to the main workflows.

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