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Analyze a YouTube channel

analyze_channel
Read-onlyIdempotent

Reference-channel breakdown for a YouTube channel id (UC…): size, recent 30-video averages, engagement, top videos. 5 credits.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "channel_id": "<channel_id>"
    },
    "name": "analyze_channel"
  }
}

Input Schema

NameRequiredDescriptionDefault
channel_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive, and closed-world behavior, so the safety profile is covered. The description adds genuinely new context: the 5-credit cost and the analytical window (recent 30-video averages, engagement, top videos). It stops short of describing behavior for invalid or private channel ids, which keeps it from a 5.

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?

A single dense sentence that front-loads the purpose, lists the returned metrics, and ends with the cost. Every clause carries information; nothing is redundant or padded.

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?

For a one-parameter read-only tool with no output schema, the description covers scope, outputs, and cost well. The remaining gap is minor: no mention of pagination/limits on top videos or how failures (private/deleted channel) surface.

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 coverage is 0%, so the description must carry the burden, and it does provide a useful format cue — the id starts with 'UC…'. It does not clarify where to obtain the id or what happens if a handle (e.g. @name) is passed instead.

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?

The description names a specific verb ('breakdown') and resource ('YouTube channel id (UC…)') and enumerates what the analysis covers: size, recent 30-video averages, engagement, top videos. It does not reference any sibling (e.g. similar_content, trending_items) to distinguish itself, so it falls short of a 5.

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?

Usage is only implied: an agent can infer this is for deep-diving a single known channel, but there is no explicit when-to-use vs when-not guidance and no mention of alternatives such as similar_content for discovery. No prerequisites or error conditions are stated.

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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