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audit_video_playback

Read-only

Detects non-playing or black videos by rendering pages in headless Chromium and comparing currentTime before and after play attempts, classifying each video's status with reasons.

Instructions

Render a page in headless Chromium and observe whether each actually advances (samples currentTime before/after a play attempt), classifying every clip into playing|paused|stalled|empty|error with a reason. Catches black/non-playing videos that static audits miss — the most common real-world defect on marketing sites with video backgrounds. Pass url to render + observe, or dom_snapshot to classify pre-collected observations without a browser.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlNoURL to render and observe (http/https or file://). Requires headless chromium.
observeMsNoMilliseconds to wait between currentTime samples after play() attempt. Default: 1000
dom_snapshotNoPre-collected video observations to classify without rendering (deterministic path)
Behavior4/5

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

Annotations already indicate readOnlyHint=true, openWorldHint=true, destructiveHint=false. Description adds behavioral detail: headless Chromium rendering, sampling currentTime before/after play attempt. No contradictions.

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 sentences efficiently convey purpose, usage paths, and unique value. Front-loaded with key information. No wasted words.

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 tool with 3 parameters and no output schema, description covers necessary context: classification types, two usage modes, and practical application. Complete for an AI agent.

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%, so description need not add much. Description briefly mentions url and dom_snapshot but does not add significant meaning beyond the schema descriptions.

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 specific verb 'audit' and resource 'video playback'. It explains the tool renders a page, observes video elements, and classifies them. It distinguishes itself from static audits by catching black/non-playing videos, a common defect.

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?

Description provides two usage paths: URL rendering or pre-collected observations. It implies when to use (catch defects missed by static audits), but does not explicitly state when not to use or list 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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