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BACH-AI-Tools

Youtube138 MCP Server

channel_channels

Retrieve YouTube channel collections and subscriptions data using channel ID and filters to organize content access.

Instructions

Channel Channels

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNoChannel ID
filterNoFilter key or token, default: all_collections Keys you can enter: all_collections: Returns channel collections subscriptions: Returns subscribed channels or custom collection token
cursorNoExample value:
hlNoExample value: en
glNoExample value: US
Behavior1/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. The description 'Channel Channels' reveals nothing about whether this is a read or write operation, what data it returns, whether it requires authentication, has rate limits, or any other behavioral characteristics. It's completely opaque.

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

Conciseness2/5

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

While technically concise with just two words, this is a case of under-specification rather than effective brevity. The description fails to communicate essential information, making it inefficient for the agent's understanding despite its short length.

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

Completeness1/5

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

Given the tool has 5 parameters, no annotations, and no output schema, the description 'Channel Channels' is completely inadequate. It doesn't explain what the tool does, what it returns, or how to use it properly, leaving the agent with insufficient information to effectively invoke this tool.

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?

The input schema has 100% description coverage, with all 5 parameters documented in the schema itself. The description adds no additional semantic context about parameters beyond what's already in the schema descriptions, so it meets the baseline score of 3 for adequate schema coverage without adding value.

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

Purpose1/5

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

The description 'Channel Channels' is a tautology that merely repeats the tool name without specifying what action it performs or what resource it operates on. It doesn't distinguish this tool from sibling tools like channel_details, channel_search, or channel_videos, leaving the agent completely uncertain about its function.

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

Usage Guidelines1/5

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

The description provides no guidance on when to use this tool versus alternatives. With sibling tools like channel_search (for searching channels), channel_details (for channel metadata), and channel_videos (for channel videos), there's no indication of what specific purpose 'channel_channels' serves or when it's the appropriate choice.

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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