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Torah Library

Parsha study pack

parsha_study_pack
Read-onlyIdempotent

Everything to study the weekly Torah portion: the reading (for a date, or by parsha name), aliyot and haftarah, the text of a chosen aliyah (Hebrew + English), a commentator's notes on its opening verses, and the parsha's topic and themes. Great for preparing a dvar Torah.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateNoAny date — uses that week's Shabbat reading. Default: this week.
aliyahNoWhich aliyah's text to include.
israelNo
vowelsNofull
parashaNoOr a parsha name, e.g. "Vayera".
commentatorNoRashi
verses_of_commentaryNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

The annotations already establish that the tool is read-only, idempotent, and non-destructive. The description adds useful context about the composition of the returned pack, but it does not disclose behavioral nuances such as how conflicts between date and parasha are resolved or what happens when requested content is unavailable.

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?

The description is a single well-organized sentence followed by a short use-case clause. The colon-delimited list packs a lot of content without rambling, and every phrase contributes to explaining what the tool provides.

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 there is no output schema, the description does a decent job enumerating the returned components. Still, it is vague about the shape of the response, the interaction between parameters, and the meaning of 'everything,' so an agent would not fully anticipate the result structure before calling.

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?

With only 43% schema coverage, the description partially compensates by clarifying that the reading can be requested by date or parsha name, and that the commentary relates to a chosen aliyah's opening verses. However, it does not explain the israel or vowels parameters, leaving meaningful gaps for a 7-parameter tool.

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?

The description names a specific deliverable, a weekly Torah portion study pack, and enumerates its contents: the reading, aliyot, haftarah, selected aliyah text, commentary, and themes. This distinguishes it from the sibling get_parasha or get_torah_reading, though it does not explicitly name them.

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 phrase 'Great for preparing a dvar Torah' gives a clear use case, implying this is the comprehensive study tool. However, it does not explicitly state when to prefer this over related tools like get_parasha or get_torah_reading, nor does it mention any exclusions or alternatives.

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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