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x402vid AI Intelligence & Channel Growth for YouTube Videos

Channel Growth Audit

grow_channel_report
Read-only

Fetch a YouTube channel's stats and audit its growth: what this channel must do to grow.

Give a channel URL, @handle, or channel ID. Audits recent uploads (packaging grades, rewritten titles), validates niche demand against top-performing videos, and returns a 90-day action plan. Slow call (audits multiple videos) — allow up to 5 minutes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
formatNo"html" (default, includes styled report) or "json" (structured data only)html
x_paymentNoBase64 x402 payment payload (required — pass the X-PAYMENT value as an argument over MCP)
channel_inputYesChannel URL (/@handle or /channel/UC...), @handle, or UC id

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations cover the safety profile (readOnly, non-destructive, open-world), and the description adds two genuinely useful details not in structured data: the call is slow (up to 5 minutes, consistent with idempotentHint=false) and it audits multiple videos. The payment requirement is mentioned only via the schema's x_payment field, so cost/permission expectations remain partly implicit.

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?

Front-loads the core action, then enumerates the audit outputs and the latency caveat. Roughly four short lines with no filler; only the trailing latency note is slightly detached from the flow.

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?

An output schema exists so return values need not be explained, and the description still covers input forms, audit scope, and the slow-call expectation. An agent has everything needed to invoke it correctly, including the multi-minute timeout allowance.

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 description coverage is 100%, so format, x_payment, and channel_input are all documented in the schema. The description's 'give a channel URL, @handle, or channel ID' essentially restates the channel_input schema description without adding syntax or edge-case detail, so baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource — fetch a channel's stats and audit its growth — plus the concrete outputs (packaging grades, rewritten titles, niche validation, 90-day action plan). It is clearly distinguishable from most siblings by content, but never names a sibling tool (e.g. channel_launch_kit, compare_channels) to disambiguate the overlapping 'channel growth' space.

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

Usage Guidelines3/5

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

Gives the accepted input forms (URL, @handle, channel ID) and implies the use case is a growth audit, but offers no explicit when-to-use/when-not-to-use guidance or routing against alternatives like channel_launch_kit. Usage must be inferred from the purpose statement.

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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