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Glama

List My Channels

list_my_channels
Read-onlyIdempotent

List all YouTube channels you are logged in to and identify the default channel. Reads stored logins only; makes no API calls.

Instructions

Channels the user is logged in to, and which one is the default.

Operations on the user's own channel work on the default unless told to use another. Reads stored logins only; makes no API calls.

Quota: no YouTube Data API units.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

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, so the safety profile is covered. The description still adds real value beyond them: it reads stored local logins only, makes no API calls, and consumes no quota units — facts an agent cannot infer from the 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 short sentences, each carrying distinct information: what is returned, how the default is used downstream, and the side-effect/quota profile. It is front-loaded with the core answer and contains no filler.

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?

With zero parameters and an output schema present, the description does not need to explain return values and correctly does not. It covers side effects and quota, leaving only minor gaps such as ordering or multi-account edge cases, which the output schema likely handles.

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?

The tool takes zero parameters, so the baseline is 4 and there is no parameter semantics for the description to compensate for. Nothing is missing on this dimension.

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 states the resource (the channels the user is logged into) and adds a distinguishing fact its siblings don't have: which one is the default. The verb is implied by the name/title rather than stated, and it does not explicitly contrast itself with get_channel, but an agent can tell what it returns without opening the schema.

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?

It explains what the default channel means for subsequent operations ('operations on the user's own channel work on the default unless told to use another'), which is useful cross-tool context. However, it never says when to call this tool versus alternatives such as get_channel, nor does it name any sibling, so usage is only implied.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.