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prreobby
by prreobby

search_content

Search JW.Org content including articles, videos, publications, audio, and scriptures. Interprets natural language queries to extract search terms and return relevant results.

Instructions

Search JW.Org content including articles, videos, publications, audio, and scriptures. Extracts meaningful search terms from natural language queries.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of results to return
queryYesThe search query. Can be natural language like 'What does the Bible say about love?' The tool will extract 'love' as the search term.
filterNoContent type filterall
languageNoLanguage code (E=English, S=Spanish, etc)E
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It discloses one behavioral trait—natural language term extraction—but omits critical details like result format, ordering, pagination, or authentication. The verb 'search' implies read-only, but that is not explicitly stated, and there is no mention of what the response will look like.

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 two efficient sentences with no redundancy. The first sentence clearly states the tool's purpose and scope, while the second adds a distinctive behavioral detail. Every word earns its place.

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

Completeness3/5

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

Given the absence of annotations and output schema, the description provides adequate purpose and one behavioral note, but it fails to describe the return value or any usage constraints. An agent knows what to search for but not what to expect back, which is a meaningful gap for a search tool.

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?

The input schema has 100% description coverage, including a detailed example for 'query'. The tool description adds no additional parameter meaning beyond the schema. The natural-language extraction behavior is already explained in the query parameter's own description, so baseline 3 applies.

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 uses a specific verb 'Search' and identifies the resource as 'JW.Org content' with explicit content types (articles, videos, publications, audio, scriptures). This clearly distinguishes it from sibling get_article and get_scripture, which target specific items rather than broad search.

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?

The description implies usage for natural-language searches across a broad content set, but it does not explicitly say when to prefer this over get_article or get_scripture, nor provide exclusions. The phrase 'Extracts meaningful search terms from natural language queries' gives some context for its query style, but no direct alternatives are named.

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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