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ravinwebsurgeon

DataForSEO MCP Server

serp_youtube_video_subtitles_live_advanced

Extract and analyze YouTube video subtitles for SEO research by specifying video ID, location, and language parameters to obtain structured subtitle data.

Instructions

provides data on the video subtitles you specify

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
video_idYesID of the video
location_nameYesfull name of the location required field Location format - hierarchical, comma-separated (from most specific to least) Can be one of: 1. Country only: "United States" 2. Region,Country: "California,United States" 3. City,Region,Country: "San Francisco,California,United States"
language_codeYessearch engine language code (e.g., 'en')
subtitles_languageNolanguage code of original text (e.g., 'en')
subtitles_translate_languageNolanguage code of translated text (e.g., 'en')
deviceNodevice type optional field can take the values:desktop, mobile default value: desktopdesktop
osNodevice operating system optional field if you specify desktop in the device field, choose from the following values: windows, macos default value: windows if you specify mobile in the device field, choose from the following values: android, ios default value: androidwindows
Behavior1/5

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

With no annotations provided, the description carries full burden but fails to disclose any behavioral traits. It doesn't mention whether this is a read-only operation, if it requires authentication, rate limits, or what the output looks like (e.g., structured data, raw text). The phrase 'provides data' is too generic to infer behavior.

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?

While concise (one sentence), the description is under-specified and fails to front-load critical information. It doesn't earn its place by adding value; instead, it's overly brief for a complex tool, making it inefficient for agent understanding.

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?

Given the tool's complexity (7 parameters, no annotations, no output schema), the description is severely incomplete. It doesn't explain the tool's purpose, usage, behavior, or output, leaving major gaps that hinder effective agent invocation.

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 schema fully documents all 7 parameters with detailed descriptions and constraints. The description adds no additional meaning beyond the schema, but since coverage is high, the baseline score of 3 applies—adequate but no extra value.

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

Purpose2/5

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

The description 'provides data on the video subtitles you specify' is vague and tautological—it essentially restates the tool name without specifying what kind of data (e.g., transcript text, timing, availability) or how it's retrieved. It lacks a clear verb-resource combination and doesn't distinguish from sibling tools like 'serp_youtube_video_info_live_advanced' or 'serp_youtube_organic_live_advanced'.

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?

No guidance is provided on when to use this tool versus alternatives. The description offers no context, prerequisites, or exclusions, leaving the agent to guess based on parameters alone. This is inadequate for a tool with 7 parameters and no annotations.

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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