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review_upcoming_video

Read-only

Review a YouTube video the signed-in user is ABOUT to publish on their own channel (a scheduled, unlisted, or private/draft upload of theirs, NOT one already public) and give them a prioritized punch-list of what to fix before it goes live: title and thumbnail versus what works on their channel, the description, key settings, and the best time to publish (from when their own uploads have done best and where their audience is). Call this when the user wants to get an upcoming, scheduled, draft, or unlisted video ready, reviewed, checked, or prepared before release or publishing; asks 'is my next video ready', 'what should I fix before I publish', 'review my video for tomorrow', 'get my upload ready', or asks what time or when to publish or post it. Pass video (a title or part of one) to pick a specific upcoming upload; omit it to review the most imminent one. For a video that is ALREADY public use analyze_video; for titles and thumbnails alone use package_video. Needs no input: it reads their real connected YouTube channel directly. Never ask the creator anything first, not for context, not for a link, not for a title you could look up; call it immediately.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
titleNo
videoNoWhich upcoming upload to review (its title or part of it); omit for the most imminent one

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations declare readOnlyHint=true and openWorldHint=true, and the description adds meaningful context beyond that: it reads the user's real connected channel, requires no input, and should be called immediately without asking questions. It does not detail rate limits or timeouts, but for a read-only review tool the remaining behavioral context is minor.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The core purpose is front-loaded, but the description is long, includes many repeated trigger phrases and several admonitions ('never ask the creator anything first', 'call it immediately') that could be trimmed. It is informative but not concise.

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?

For a zero-required-parameter, read-only tool with no output schema, the description covers what the tool does, when to use it, how to pick a video, and its relationship to siblings. It omits only a few behavioral details (e.g., latency, failure modes), which are minor for this tool type.

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 50%—the `video` parameter is documented in the schema, but the `title` parameter has no schema description. The description adds semantics for `video` (partial title, omit for most imminent) but says nothing about `title`, which is unexplained in both places. Baseline 3 is appropriate, with a small residual gap.

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 states a precise verb and resource—reviewing an upcoming (scheduled, unlisted, private/draft) YouTube upload and producing a prioritized fix list—and explicitly contrasts the target with analyze_video (already public) and package_video (titles/thumbnails alone). An agent can distinguish this tool from all siblings without opening a schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It gives explicit when-to-use triggers ('is my next video ready', 'review my video for tomorrow'), when-not-to-use alternatives (already public → analyze_video; titles/thumbnails only → package_video), and even when never to ask questions first. Routing is fully specified.

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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