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Get transcripts for multiple videos

get_transcripts

Fetch YouTube transcripts for up to 10 videos in batches of 3. Per-video failures return an error field without aborting the batch; offsetChars retrieves full text for truncated transcripts.

Instructions

Batch transcript fetch (max 10 videos, 3 at a time). Per-video failures don't kill the batch — failed entries carry an error field. Each transcript is truncated to fit; use get_transcript with offsetChars for full text of long ones.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
videosYesVideo IDs or URLs
languageNoPreferred caption language code (default 'en')
Behavior5/5

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

With no annotations provided, the description carries the full burden and does so excellently. It discloses the batch size, concurrency limit, partial-failure behavior (failed entries carry an error field), and truncation behavior. This gives the agent a reliable model of what the tool will do.

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 two tight sentences with no filler. The core batch behavior is front-loaded, and each clause adds useful operational or fallback information. It is exemplary in economy.

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?

Given no output schema, the description adequately tells the agent what to expect: success, per-item errors, and truncation. It also points to get_transcript for the full-text use case, covering the main follow-up path. Nothing essential for correct invocation is missing.

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 coverage is 100%, so the baseline is 3. The description does not add meaningful new meaning to the 'videos' or 'language' parameters beyond what the schema already provides; it merely repeats the max-item constraint. It earns the baseline but does not exceed it.

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 clearly states the specific action ('Batch transcript fetch') and resource ('transcripts for multiple videos'), and explicitly contrasts with the singular get_transcript tool. It also conveys key constraints (max 10 videos, 3 at a time) that distinguish it as a batch operation.

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

Usage Guidelines4/5

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

The description implies when to use this tool: when fetching multiple transcripts in a batch. It also names get_transcript as the alternative for full text of long transcripts, giving the agent a clear routing condition. It does not explicitly state exclusions or compare with other sibling tools, but the context is clear enough.

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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