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Glama

YouTube Transcript & Search MCP Server

One batch result

get_transcripts_result
Read-only

Read ONE video's result out of a batch job by its video id, without paging through get_transcripts_results. 404 means the job does not exist or this video has not finished yet — check get_transcripts_job before concluding anything. Free.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
job_idYesid returned by submit_transcripts_job
video_idYesone of the video ids the job was submitted with

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
statusNo
video_idNo
transcriptNoformat=json: array of {text, start, duration} segments (seconds); text/srt/vtt/srv3: one string in that format

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already mark this as read-only, and the description adds useful behavioral context beyond that: it documents the specific 404 meaning and directs the agent to a validation step. This goes beyond the annotation baseline without contradicting it.

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?

Three short, information-dense sentences. The key use case is front-loaded, the alternative behavior is included, and the error-handling note and free status are added without waste.

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

Completeness5/5

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

Because an output schema exists, the description doesn't need to explain return values. It covers the read operation, the matching sibling, error semantics, and the fallback verification step. For a simple two-parameter read tool, this is complete.

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 every parameter is already documented in the schema. The description adds minimal extra meaning beyond mentioning the video id and job id context, so the baseline of 3 is appropriate.

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 explicitly states the operation: reading one video's result from a batch job using its video id. It also directly contrasts with the sibling tool get_transcripts_results, making the distinction clear.

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

Usage Guidelines5/5

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

It tells the agent when to use this tool (single video result) versus paging through get_transcripts_results, and gives an explicit troubleshooting path when a 404 occurs: check get_transcripts_job before concluding.

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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TDQS

A4.1/5.0
Disambiguation4/5

Most tools target a distinct resource and action: search, list, metadata, transcript, job lifecycle, and credits. The get_transcripts_job / get_transcripts_result / get_transcripts_results trio is easy to blur at first glance, but the descriptions clearly differentiate job status, one result, and paged results.

Naming Consistency4/5

The set mostly follows a predictable verb_noun pattern: get_, list_, search_, submit_, cancel_. The main deviation is latest_channel_videos, which uses an adjective instead of a verb, and the result/results pair is mildly confusing, but overall naming is coherent and easy to navigate.

Tool Count5/5

14 tools is well within the sweet spot for a server with this scope. Each tool serves a clear niche: video lookup, metadata, single transcripts, batch jobs, and search are all represented without unnecessary or redundant tools.

Completeness5/5

The server provides full coverage of the transcript and search workflow: search YouTube, list channel/playlist videos, fetch or batch-fetch transcripts, check job progress/credits, and read results. There are no obvious missing operations that would force an agent into a dead end.