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List videos

list_videos
Read-onlyIdempotent

List rendered Tutorializer videos. Optionally filter by projectId, tutorialId, locale, and device. Returns a Markdown table of output dimensions, locale, device, format, and URL.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
cursorNoOpaque cursor from a previous call
deviceNoFilter by device, e.g. desktop, smartphone
localeNoFilter by locale, e.g. en, es
projectIdNoFilter videos by project id
tutorialIdNoFilter videos by tutorial id

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
offsetYes
statusYes
videosYes
hasMoreYes
returnedYes
nextCursorYes
deviceFilterYes
localeFilterYes
projectIdFilterYes
tutorialIdFilterYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already cover the safety profile with readOnlyHint, idempotentHint, and destructiveHint false, so the description does not need to repeat that. It adds useful behavioral context by stating that only rendered videos are returned and that the response is a Markdown table with specific columns, going beyond annotations without contradicting them.

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?

Two tightly packed sentences with no filler: purpose first, then filters, then return format. Every sentence contributes information an agent needs to decide whether and how to call the tool.

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 simple read-only list tool with an output schema, high schema coverage, and strong annotations, this description supplies the essential filters and response shape. Pagination details are already present in the schema, so nothing critical is missing for correct invocation.

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 83%, so the schema already documents most parameters. The description names four filter parameters, which adds a slight grouping but mostly restates the schema; limit and cursor are left to the schema, which already describes them adequately. This meets the baseline for high schema coverage.

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 opens with a specific verb and resource ('List rendered Tutorializer videos') and names the optional filters, distinguishing it from sibling list_* tools and get_video. The 'rendered' qualifier scopes it to video outputs rather than tutorial metadata, so an agent can tell it apart without opening schemas.

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?

It clearly establishes the tool as a list endpoint with optional filters, giving an agent the context to choose it for broad queries. However, it does not explicitly mention sibling tools or state when not to use it, so it stops short of full when-to-use-versus-alternatives guidance.

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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