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YouTube thumbnail specs

thumbnail_specs
Read-onlyIdempotent

YouTube's own thumbnail sizes, shapes and file limits for videos, Shorts and podcasts, from its Help page, plus four design rules that hold at feed size. Free, no network call.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "thumbnail_specs"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

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 already declare readOnly/idempotent/non-destructive and closed-world, so the bar is lower, and the description still adds useful context: the data is a static snapshot of YouTube's Help page content and involves 'no network call', which reinforces openWorldHint=false. It stops short of describing the return shape (structured fields vs. prose), which is the main remaining gap.

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 sentence that front-loads the resource scope and ends with the practical cost/behavior note. No filler, no redundancy with the title.

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-parameter reference tool with no output schema, the description adequately conveys what content comes back (sizes, shapes, file limits, four design rules) and that it is offline-safe. Only the response format itself is unspecified.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes no parameters, so there is nothing for the description to disambiguate; baseline 4 applies. The description does not need to compensate for any schema gaps.

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?

Names a concrete resource (YouTube's official thumbnail sizes, shapes, file limits for videos, Shorts, podcasts) plus four design rules, so it is clearly a static reference lookup rather than an image operation. This cleanly separates it from action-oriented siblings like check_thumbnail, correct_thumbnail and generate_thumbnail.

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: an agent can infer this is the source of truth to consult before generating or validating a thumbnail, and 'Free, no network call' signals it is cheap to call. But it never states when to prefer it over siblings such as get_thumbnail or check_thumbnail, nor any explicit exclusions.

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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