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ab_set

Pack 2 or 3 images of one of your thumbnails, edit or Optimize calls for YouTube Studio's Test and Compare: a zip of A, B, C (1280x720, under 2 MB) and a note of what each tests. Free. Same as POST /v1/ab.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "source_call_id": "<source_call_id>",
      "picks": "<picks>"
    },
    "name": "ab_set"
  }
}

Input Schema

NameRequiredDescriptionDefault
picksYes
api_keyNo
source_call_idYes

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.1/5.0
Behavior3/5

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

With no annotations, the description still discloses important behavioral traits: the output is a zip of A/B/C images at 1280x720 under 2 MB, a note of what each tests, and that the operation is free. It stops short of stating auth requirements, side effects, or whether the test set is persisted in YouTube Studio.

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

Conciseness4/5

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

The description is compact and front-loads the main action before constraints and endpoint equivalence. It avoids repetition, though the single long sentence could be slightly easier to scan if broken up.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists, so return values need less explanation, but the combination of zero schema description coverage and no annotations leaves important gaps. The description does not explain parameter meanings, authentication behavior, or the side effects of creating an A/B test set.

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

Parameters2/5

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

Schema description coverage is 0%, so the description carries the burden of explaining the three parameters. It only loosely implies that 'picks' may be the 2-3 images and that 'source_call_id' refers to the underlying thumbnail call; api_key is never mentioned, and no parameter is explicitly mapped.

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?

The description states a specific action (packing images) and resource (thumbnail A/B test set for YouTube Studio's Test and Compare), with concrete output details like a zip of A, B, C. It is clear enough to distinguish from generic thumbnail tools, but it does not explicitly contrast itself with siblings such as edit_thumbnail or make_thumbnails.

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 phrase 'for YouTube Studio's Test and Compare' implies the intended context, and 'Same as POST /v1/ab' gives an API equivalent. However, it gives no explicit when-not guidance or named alternatives among the many sibling tools, leaving comparison to the agent.

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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