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mohamdben-yahia

YouTube MCP Server

reverse_engineer_channel

Reverse-engineer any YouTube channel to create a step-by-step replication playbook. Analyze cadence, engagement, titles, video hooks, monetization, and comment gaps to uncover unmet viewer needs.

Instructions

Perform full end-to-end reverse engineering on any YouTube channel.

Deconstructs upload cadence, view-to-sub engagement ratio, title formulas, the opening 60s script hook of their top video, full monetization funnel, and mines real viewer comments for unmet content requests and pain points. Delivers a step-by-step replication playbook for a new creator to model or compete.

Args: channel_id_or_handle: Channel handle (e.g. '@mkbhd', '@aliabdaal'), channel ID ('UC...'), or username. sample_videos: Number of recent uploads to analyze (3 to 15, default 5). include_audience_gaps: If True, mines the comment section of their top video for unmet viewer needs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sample_videosNo
channel_id_or_handleYes
include_audience_gapsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.1.0

TDQS

A4.4/5.0
Behavior4/5

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

With no annotations, the description carries the burden and does disclose substantial behavior: it mines comments, analyzes the top video's hook, and deivers a playbook. Since it's an analysis tool, no destructive side effects are implied. It could state more about data access or limitations, but the behavioral outline is unusually specific.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The entry sentence is a strong front-loaded summary, followed by a compact breakdown and an Args list. It could be slightly tighter by dropping 'any YouTube channel', but every sentence earns its place.

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

Completeness4/5

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

An output schema exists, so return-value details are not needed. The description covers all parameters, provides example inputs, and describes the deliverable. It doesn't mention auth or channel prerequisites, but for a read-style analysis tool this is near-complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate and it does fully. channel_id_or_handle gets format examples, sample_videos gets a range and default, and include_audience_gaps gets an exact behavior description. All three parameters are given meaning beyond their schema titles.

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 uses a specific verb phrase 'Perform full end-to-end reverse engineering' and enumerates exactly what it deconstructs: upload cadence, engagement ratio, titles, script hook, monetization funnel, comments. It clearly differentiates from sibling tools by promising a replication playbook, so an agent can recognize this as the comprehensive competitor-analysis tool.

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?

It provides a clear use context: a step-by-step playbook for a new creator to model or compete. It doesn't explicitly name alternate siblings or exclusions, but the comprehensive scope implies it's for full competitor teardowns.

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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