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getWatchtowerContent

Retrieve the full text and structured outline of any Watchtower article from its RTF link, including paragraphs, questions, sections, and songs for study notes.

Instructions

STEP 2: Get the actual Watchtower article content after the user chooses an article. Takes the RTF URL from getWatchtowerLinks, downloads and converts it to clean plain text (parsedText), and additionally returns a structured object that recovers the article's shape: paragraph numbers with their questions, section headings and the paragraphs they cover, theme scripture, key-point box, opening/closing songs, read-aloud scriptures, footnotes and the review box. Use structured to build study notes; fall back to parsedText when you need the raw wording.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesThe RTF file URL from getWatchtowerLinks results (e.g. "https://cfp2.jw-cdn.org/a/...")
titleNoOptional article title from getWatchtowerLinks. Improves weekRange detection in `structured`; inferred from the content when omitted.
structuredNoInclude the `structured` breakdown (paragraphs, questions, sections, songs, footnotes). Set false to save tokens when you only need the plain text. Default: true
langwrittenNoLanguage code of the article. Inferred from the URL when omitted.
Behavior4/5

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

The description details the download-convert process and enumerates the structured object's components, giving transparency about output. No annotations exist, so this description carries the burden, and it sufficiently explains behavior without side effects.

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, starting with a clear step label and a concise summary, then providing necessary detail about the structured object. No unnecessary repetition.

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?

Given no output schema, the description adequately describes both return formats and their fields, enabling the agent to know what to expect. It also hints at token-saving via the structured parameter, though that's in schema.

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?

Schema descriptions cover all four parameters with examples and default behavior. The tool description reinforces the URL source but doesn't add significant new meaning beyond the schema, so a baseline score of 3 is appropriate.

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 retrieves Watchtower article content, converting an RTF URL to plain text and structured data. It distinguishes itself from getWatchtowerLinks by referencing it as the source and marking this as STEP 2.

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?

It explicitly says to use the RTF URL from getWatchtowerLinks and provides guidance on choosing between `structured` and `parsedText`, indicating appropriate usage contexts. It does not explicitly state when not to use the tool, but the sequential reference implies its role.

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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