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Social Youtube Shorts

social_youtube_shorts
Read-only

Latest Shorts of one YouTube channel from its public Shorts page (first ~48 items): video id, title, view count text (as YouTube shows it, e.g. '5 thousand views'), link and thumbnail. No durations, likes or comments. Price: $0.002 in USDC per successful call, paid with x402 (Base, Solana or Arc); failed calls are not charged.

Input Schema

NameRequiredDescriptionDefault
handleYesChannel handle, with or without @ (e.g. @YouTube). 3-30 letters, digits, . _ -

Output Schema

NameRequiredDescriptionDefault
shortsNo
sourceNo
channelNo
checkedAtNo
shortCountNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior5/5

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

Annotations already mark it read-only and open-world, but the description adds crucial context beyond them: the ~48 item limit, exact returned fields (and explicit absence of durations, likes, comments), view count text formatting, and a clear pricing model ($0.002 per successful call, failed calls free). This tells the agent exactly what to expect and what it costs.

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?

The description is front-loaded with the core action and scope, then follows with limitations and pricing. Every sentence earns its place; there is no redundancy or filler.

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?

Although an output schema exists, the description still usefully summarizes returned fields and explicitly lists missing fields. It also covers sample size, cost, and failure charging, making it fully complete for this read-only data-fetch tool.

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 description coverage is 100%, so the single 'handle' parameter is fully documented in the schema. The description adds no further parameter-specific guidance, which is acceptable given the high schema coverage.

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+resource: 'Latest Shorts of one YouTube channel from its public Shorts page', and scopes it to the first ~48 items. It does not explicitly name the sibling 'social_youtube' as the alternative for full channel videos, so sibling differentiation is implied rather than stated.

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?

The description implies when to use it (fetching a channel's latest Shorts) but gives no explicit when-not-to-use or alternative tools. With many sibling YouTube tools available, an agent would benefit from a sentence like 'for full videos use social_youtube instead'.

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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