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Get TikTok video transcript

get_tiktok_video_transcript
Read-only

Fetch or generate a normalized TikTok video transcript.

Returns plain text and timestamped segments. A previously collected transcript can be reused. Each successful request costs 2.5 account credits, including a reused result, and may take longer when transcription must be generated.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okNo
dataNo
countNo
resultsNo
has_moreNo
not_foundNo
next_cursorNo
suggested_followupsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
Behavior5/5

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

Beyond the annotations (readOnlyHint, openWorldHint, destructiveHint), the description adds meaningful behavioral context: transcript normalization, plain-text and segment output, reuse of previously collected transcripts, a fixed credit cost of 2.5 even for reused results, and potential latency when generation is required. This goes well beyond what annotations convey.

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 tightly written and front-loaded with the core purpose, followed by output format, reuse behavior, cost, and latency. Every sentence adds useful information and there is no filler or repetition of schema details.

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?

The description is largely complete for a single-parameter tool with annotations and an output schema: it covers purpose, output content, reuse, cost, and latency. The main gaps are explicit sibling differentiation and parameter semantics, but these are partially mitigated by the output schema and tool name.

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 needs to compensate by explaining the url parameter, but it does not. It never states what constitutes a valid TikTok video URL, whether short URLs are accepted, or any other parameter-specific detail. The tool name and schema format provide only minimal implicit meaning.

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 clearly states the tool fetches or generates a normalized TikTok video transcript and returns plain text plus timestamped segments. It is unambiguous about the resource and operation, though it does not explicitly differentiate itself from siblings like get_tiktok_video_captions or get_tiktok_video_transcripts.

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 this is useful by describing transcript reuse and generation, but it gives no explicit guidance on when to prefer this tool over sibling tools such as get_tiktok_video_captions or get_tiktok_video_transcripts. There are no exclusions or alternative routing instructions.

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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