video_previewFree YouTube video preview (no payment): title, channel, stats, and transcript excerpt.
Taster for get_video_intelligence. Shows value before asking for payment. Capped: transcript excerpt truncated to ~2000 chars, no AI analysis.
| Name | Required | Description | Default |
|---|---|---|---|
| video_url | No | YouTube video URL or video ID |
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Discloses that the transcript is capped at ~2000 chars and that no AI analysis is included. Though no annotations are provided, the description covers the key behavioral boundary (free vs paid, truncated output). It doesn't mention error cases or authentication requirements, which with no annotations leaves some gaps.
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?
Compact and front-loaded with the core value proposition first. Each sentence earns its place: what it returns, when to use it, and its limitations. No redundancy or waste.
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?
Complete for a simple single-parameter preview tool with an output schema covering the return values. The absence of annotations is partially mitigated by the description's clear scoping. Could add what happens on invalid URLs, but the output schema covers the return format.
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%, so the schema already documents the video_url parameter. The description doesn't add extra detail about URL formats beyond the schema's 'YouTube video URL or video ID' explanation. Baseline 3 is appropriate since the schema does the heavy lifting.
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 clearly states the tool provides a free YouTube video preview with title, channel, stats, and transcript excerpt. It distinguishes itself from the paid get_video_intelligence tool by explicitly positioning itself as a free taster.
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?
Explicitly positions this as a taster for get_video_intelligence and states the payment distinction. An agent can clearly understand when to use this free preview vs the alternative paid intelligence tool.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool targets a distinct YouTube-related workflow: topic research, single-video intelligence, channel audit, search ranking, raw transcript, preview, and health check. A minor point of possible confusion exists between analyze_youtube_topic and search_and_rank_videos because both return curated video results, and video_preview overlaps lightly with get_video_intelligence, but the descriptions clarify the boundary.
All names use lowercase snake_case, but the pattern is mixed: analyze_youtube_topic, get_video_intelligence, and search_and_rank_videos are verb-first, while health_check, transcript_markdown, and video_preview are noun phrases. grow_channel_report is awkward as a verb phrase and would be clearer as get_channel_growth_report.
Seven tools is well-scoped for the server's purpose: research, video intelligence, channel growth, search ranking, transcript access, preview, and health check. Each tool has a clear role without redundancy or bloat.
The core workflows are covered: finding and ranking videos, analyzing single or multiple videos, pulling raw transcripts, and auditing a channel's growth opportunity. Minor gaps exist around more granular channel analytics or metadata-only lookups, but agents can work around them with the provided tools.