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xpay✦ Marketing Collection

scrapecreators_transcript_get

Transcript

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesTikTok video URL
languageNoLanguage of the transcript. 2 letter language code, ie 'en', 'es', 'fr', 'de', 'it', 'ja', 'ko', 'zh'
use_ai_as_fallbackNoSet to 'true' to use AI as a fallback to get the transcript if the transcript is not found. Costs 10 credits to use this feature.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

D1.4/5.0
Behavior1/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. However, 'Transcript' reveals nothing about side effects, credit costs, fallback behavior, or output format. The tool's behavior is completely opaque.

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

Conciseness2/5

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

The description is a single word, which is under-specification rather than conciseness. It does not achieve clarity and fails to convey essential information.

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

Completeness1/5

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

The tool has three parameters, no annotations, no output schema, and a one-word description. This is severely inadequate for an agent to understand the tool's purpose, behavior, and return values. The description fails to provide even basic context.

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?

The input schema provides detailed descriptions for all three parameters (url, language, use_ai_as_fallback), covering 100% of the parameters. Therefore, even though the description adds no parameter-specific information, the baseline of 3 is appropriate because the schema fully documents the parameters.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose1/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description is simply 'Transcript', which merely restates the tool name without stating an action or object. It does not say what the tool does, such as retrieving a transcript for a TikTok video. This is a tautology and provides no differentiation from sibling tools.

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

Usage Guidelines1/5

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

There is no guidance on when to use this tool versus alternatives. The description lacks any context about the use case, such as specifying that it works with TikTok video URLs. No alternatives or exclusions are mentioned.

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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