youtube_transcript
Get the transcript (captions) of a YouTube video. Returns the full text plus per-segment timings.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes | Public YouTube video URL |
Get the transcript (captions) of a YouTube video. Returns the full text plus per-segment timings.
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes | Public YouTube video URL |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations are present but thin (readOnlyHint=false, idempotentHint=false, destructiveHint=false), so the bar is lowered. The description usefully discloses the return shape ('full text plus per-segment timings'), which is real value given there is no output schema. However, it omits failure behavior (no captions, private/age-restricted videos) and the readOnlyHint=false flag is odd for what is plainly a read operation, with nothing in the text resolving that ambiguity.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences, zero filler, with the action front-loaded and the return format following. Every clause earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a one-parameter read tool with no output schema, the description covers both what it fetches and what comes back, which is the essential information. It falls short only on edge-case behavior (missing captions, unsupported languages) that an agent would want before calling.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% for the single 'url' parameter, so the schema already documents it as a 'Public YouTube video URL'. The description adds no additional parameter meaning (e.g., accepted URL forms, video IDs), so the baseline 3 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description names a specific verb and resource ('Get the transcript (captions) of a YouTube video') and even disambiguates the term transcript with 'captions'. An agent can tell instantly that this is the YouTube-caption reader, distinct from the Instagram/TikTok siblings.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives, nor any preconditions (public video, captions must exist, language selection). The description states what the tool does but never when it applies or fails.
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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