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xnomi05-blip

YouTube MCP Server

by xnomi05-blip

get_transcript

Retrieve full YouTube video transcripts with timestamps. Get both timed segments and complete text, no API key required.

Instructions

Fetch the full transcript/captions of a YouTube video with timestamps. Returns both individual segments with timing and the full concatenated text. No API key needed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesYouTube video URL or video ID
langNoLanguage code for captions (default: "en")
Behavior4/5

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

With no annotations, the description carries the burden and it does disclose key behavior: it is a read-only fetch ('Fetch'), requires no API key, and returns both segmented and concatenated text. It does not cover edge cases like missing captions or rate limiting, but for a simple public fetch the essential behavioral traits are present.

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?

Two sentences with no filler: the first front-loads the core purpose and the second explains the return format. Every clause earns its place.

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 low-complexity, 2-parameter read tool without an output schema, the description is nearly complete: purpose, return shape, and auth model are all stated. The main missing context is explicit guidance on how it differs from close siblings such as get_clean_transcript, which is more a usage-guideline gap than a correctness gap.

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 already provides 100% coverage for both parameters ('YouTube video URL or video ID' and 'Language code for captions (default: "en")'). The description adds no extra parameter-level detail, so the baseline 3 applies.

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?

The description names a specific operation ('Fetch the full transcript/captions'), a concrete target ('YouTube video with timestamps'), and the exact output shape ('individual segments with timing and the full concatenated text'). This clearly distinguishes it from neighboring search_transcript and get_clean_transcript by signaling whole-transcript, timestamped content.

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 wording implies this is for retrieving an entire transcript rather than searching within one or getting a cleaned version, but it never explicitly states when to choose this tool over siblings like search_transcript or get_clean_transcript. There are no when-to-use or when-not-to-use conditions.

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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