Delete a flashcard deck
quiz_video_delete_flashcard_deckPermanently delete a flashcard deck and all of its cards.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| deckId | Yes | Flashcard deck ID. |
quiz_video_delete_flashcard_deckPermanently delete a flashcard deck and all of its cards.
| Name | Required | Description | Default |
|---|---|---|---|
| deckId | Yes | Flashcard deck ID. |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description adds behavioral context beyond the annotations by noting permanence ('permanently delete') and cascading deletion ('all of its cards'). While annotations already declare destructiveHint=true, this extra detail clarifies irreversible scope. No contradiction with annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, concise sentence that front-loads the key action and resource. It includes no filler or redundant information, earning every word.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the low complexity (one parameter, no output schema) and strong annotations (destructive, idempotent, read-only false), the description is complete. It conveys the essential behavior and resource scope without needing to explain return values or error cases.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100% as the single parameter 'deckId' has a description ('Flashcard deck ID.'). The tool description does not add additional meaning about the parameter, so the baseline score of 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('delete') and the resource ('flashcard deck') with additional scope ('all of its cards'), which distinguishes it from sibling tools like quiz_video_get_flashcard_deck, quiz_video_update_flashcard_deck, and quiz_video_create_flashcard_deck. It is specific and unambiguous.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies the tool is used when the user wants to permanently remove a flashcard deck, but it does not explicitly state when not to use it or mention alternatives. There are no exclusionary conditions or alternative tool references, so guidance is implied rather than explicit.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Every tool targets a distinct resource and action (create/get/list/update/delete per entity). Overlapping pairs like get_render vs download_render are clearly differentiated by their purpose, and generate_quiz vs create_quiz serve different creation modes. There is no ambiguity between tools.
The vast majority of tools follow a consistent 'quiz_video_<verb>_<noun>' pattern in snake_case. The only deviation is the three discovery tools (get_api_catalog, get_llms_txt, get_openapi_spec) which omit the 'quiz_video_' prefix, though they still use a clear verb_noun structure.
With 30 tools, the server is on the heavier side and exceeds the typical 15-tool guideline. However, the count is justified by the breadth of resources covered (quizzes, questions, hooks, templates, flashcard decks, renders, music, account) and each tool has a distinct role, so the size feels appropriate for a comprehensive API surface.
The server covers full CRUD for most core resources (quizzes, templates, flashcard decks, hooks) and add/list for questions. Minor gaps include no individual question update/delete and no direct render deletion, but these are not critical and the main workflows (create → view → render → download) are fully covered.