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Create a study set

create_study_set

Create a flashcard set with 8-15 cards on a focused topic, publish it to the learner's Vocabit app, and receive a deep link for immediate access.

Instructions

Build a flashcard set and publish it to the learner's Vocabit app. Returns a deep link that opens the set on their device. Prefer one focused topic and 8-15 cards per set — long sets get abandoned. Use the notes field for what you want to check afterwards; the learner never sees it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cardsYesThe flashcards, 1-300. Keep a set to one theme and around 8-15 cards for a single session
notesNoYour own notes about what to check when reviewing results. Never shown to the learner
titleYesSet title as the learner will see it in the app
topicNoTopic tag used to group sets and to filter them later, e.g. 'church vocabulary'
notifyNoPing the learner on Telegram that the set is ready
userIdNoFirebase UID of the learner. Omit to use the server default
visibilityNoDefaults to private
descriptionNoShort description shown under the title
termLanguageNoLanguage of the terms, e.g. 'de'
definitionLanguageNoLanguage of the definitions, e.g. 'en'

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
setIdYes
titleYes
userIdNo
deepLinkYesUniversal link that opens the set in the app
notifiedNo
cardCountYes
visibilityNo
appSchemeLinkNo
Behavior5/5

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

The description adds valuable behavioral detail beyond the annotations: it states the tool publishes to the learner's app, returns a deep link, and specifically discloses that the notes field is never shown to the learner. This gives the agent solid expectations for side effects and privacy, complementing the readOnlyHint=false and destructiveHint=false annotations.

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?

Three sentences with no redundancy: it states the action, the return, then two pieces of practical guidance. Information is front-loaded (action first), and each sentence earns its place without fluff.

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?

For a 10-parameter creation tool with a rich schema and output schema present, the description covers the core purpose, return behavior, best-practice usage, and a privacy nuance. Nothing essential is missing for an agent to invoke it correctly; the schema handles parameter details.

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 coverage is 100% and every parameter has a description. The description does not introduce new parameter meaning beyond restating the notes privacy and the card-count advice already present in the schema. It adds no new semantics that the schema doesn't already provide, so the baseline 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 action ('Build a flashcard set and publish it') and the resource (flashcard set in Vocabit). It also mentions the return value (deep link), distinguishing it from list/get/update/delete siblings. The verb is specific and the purpose is unambiguous.

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?

The description provides strong best-practice context ('Prefer one focused topic and 8-15 cards per set') but does not explicitly contrast with alternatives like update_study_set or when not to use it. It gives clear context for using the tool effectively but lacks an explicit 'use X instead' routing.

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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