Skip to main content
Glama
JADRT22
by JADRT22

get_transcript_tool

Fetch the full transcript of a YouTube video by URL or ID, with optional preferred languages, to read, summarize, and analyze video content.

Instructions

Returns the full transcript of a YouTube video.

Args: url: Video URL (youtube.com/watch?v=..., youtu.be/..., shorts/...) or ID. languages: Preferred language codes, comma-separated (e.g. "en,es,pt"). Defaults to the server default.

Returns: Transcript text with a metadata header, or an error message.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYes
languagesNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.0

TDQS

B3.4/5.0
Behavior3/5

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

No annotations are provided, so the description carries the burden. It partially discharges this by disclosing the return shape (transcript text with a metadata header, or an error message), which tells the agent how failures surface. It says nothing about permission requirements, rate limits, or fallback behavior when a preferred language is unavailable.

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?

Front-loaded with the one-line purpose, then cleanly sectioned Args/Returns. Every sentence carries information. Slightly verbose in the Returns block given an output schema exists, but not wasteful.

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?

Both parameters are documented despite 0% schema coverage, and the return contract is stated even though an output schema exists. For a simple two-parameter read tool this is nearly complete; only the sibling disambiguation is missing.

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

Parameters4/5

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

Schema description coverage is 0%, so the description must compensate and largely does: it enumerates the accepted URL forms (watch?v=, youtu.be, shorts/, bare ID) and explains that 'languages' is a comma-separated preference list defaulting to the server default. That is meaningful detail absent from the schema.

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?

States a specific verb+resource: 'Returns the full transcript of a YouTube video.' An agent knows exactly what it produces. It does not, however, differentiate itself from sibling list_transcripts_tool or get_video_info_tool, so it stops short of a 5.

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

Usage Guidelines2/5

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

No statement of when to use this versus list_transcripts_tool or the other siblings. The adjective 'full' implies a distinction from a listing tool, but that inference is left entirely to the agent.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.