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Get a quiz's media

quiz_video_get_quiz_media
Read-onlyIdempotent

Read the media a quiz uses: background, intro and outro, sound effects, and each question and answer (their ids, images, clips and backgrounds).

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "quizId": "<quizId>"
    },
    "name": "quiz_video_get_quiz_media"
  }
}

Input Schema

NameRequiredDescriptionDefault
quizIdYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint and destructiveHint=false, so safety is covered. The description adds genuine value by disclosing the shape of the payload: global media (background, intro, outro, sound effects) plus per-question and per-answer assets identified by id, which is exactly the behavioral context an agent needs and cannot get from the 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?

A single front-loaded sentence with a compact parenthetical enumeration; no filler, no repetition of the title, and the scope constraint comes first.

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

Completeness4/5

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

With no output schema, the description carries the return-value burden and does so adequately by naming every media category and noting that ids are included. It falls short only on edge cases (a quiz with no media yet, whether assets can be null) and on how to obtain the quizId.

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?

Only one parameter (quizId) at 0% schema description coverage; the description's reference to 'a quiz' confirms it takes a quiz identifier but adds no format, source, or validity guidance (e.g., obtainable from list_quizzes). Marginal value beyond the schema.

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?

States a specific verb and resource ('Read the media a quiz uses') and enumerates the media categories returned (background, intro/outro, sound effects, per-question and per-answer assets with ids). That is enough to distinguish it from get_quiz (quiz metadata) and list_media (account media library), though neither sibling is named explicitly.

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?

Usage is only implied by the phrasing 'the media a quiz uses' – an agent can infer this is the read-side counterpart to quiz_video_update_quiz_media, but the description never says when to call it, what it requires (a quiz that already has media generated), or which sibling to use instead for account-level media.

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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