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fledgeling-co

YouTube Transcript MCP

youtube_search

Read-only

Search YouTube and filter videos by view count, recency, length, and channel subscribers to get video IDs for transcript retrieval.

Instructions

Search YouTube and filter the results on view count, how recently they were posted, video length, and the channel's subscriber count. Filters combine: a video about X with over 50,000 views, posted in the last month, from a channel with over 80,000 subscribers. Free, no API key. Returns video ids you can pass to youtube_transcript.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoHow many results to return after filtering. Defaults to 10.
queryYesWhat to search for, in plain language.
maxPagesNoHow many result pages to read before giving up. Defaults to 4. Raise it when a narrow filter returns too few.
maxViewsNoDrop videos with more views than this. Useful for finding smaller creators.
minViewsNoDrop videos with fewer views than this.
minSubscribersNoDrop videos from channels with fewer subscribers than this. Costs one extra request per distinct channel, so it runs last, after the free filters have cut the set.
maxDurationSecondsNoDrop videos longer than this.
minDurationSecondsNoDrop videos shorter than this. 60 excludes most Shorts.
publishedWithinDaysNoDrop videos older than this many days. COARSE: YouTube gives a relative string ("3 weeks ago"), not a date, so anything inside the current month reads as weeks. Good for "the past month", not for "since the 14th".
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the agent knows it's safe. The description adds valuable context beyond annotations: 'Free, no API key' (no auth/access issues), 'Filters combine' (explanatory logic), and 'Returns video ids' (output format). It does not contradict annotations.

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 sentences, each earning its place: first states purpose and filters, second gives a concrete example, third covers key non-obvious facts (free, no API key) and output destination. No fluff, well front-loaded.

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?

Despite 9 parameters and no output schema, the description is complete: it covers the core functionality, example usage, cost/auth requirements, and return value. The schema thoroughly documents all parameters, and sibling tools provide context for downstream usage.

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 100%, so parameters are already well-documented. The description adds value by providing a concrete example of how filters combine ('a video about X with over 50,000 views, posted in the last month, from a channel with over 80,000 subscribers'), which illustrates parameter interaction beyond individual schema descriptions.

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 tool's function with a specific verb ('Search YouTube') and resource, then enumerates the filter dimensions (view count, recency, video length, subscriber count). It distinguishes itself from sibling transcript tools by noting it returns video IDs for use with youtube_transcript.

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 usage context: it's a search/filter tool for finding videos, and explicitly mentions passing results to youtube_transcript, providing a clear workflow. It does not explicitly say 'use this when X, use alternative when Y,' but the sibling tool names and the stated output make the distinction obvious.

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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