Skip to main content
Glama

youtube_comment_threads

Read-onlyIdempotent

Comentários de TOPO pela API oficial, com as respostas já existentes. É daqui que sai o parent_id usado em youtube_comment_reply (o id do thread), então prefira esta tool a youtube_comments quando a intenção for responder. Sem video_id, traz os comentários do canal conectado inteiro (bom para 'o que ainda não respondi'). Custa 1 unidade da cota.

Bulk support: accepts video_ids, channel_ids for batched execution.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
orderNo
accountNo
video_idNo
video_idsNo
channel_idNo
page_tokenNo
channel_idsNo
max_resultsNo
search_termsNo
moderation_statusNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already establish readOnlyHint=true, idempotentHint=true, and destructiveHint=false. The description adds meaningful context beyond that: the tool costs 1 quota unit, returns threads with existing replies, and behaves differently when video_id is omitted. These are useful behavioral insights not present in 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?

The description is extremely dense and efficient: four sentences carry the primary purpose, sibling differentiation, no-video_id behavior, a quota cost, and bulk support. It is front-loaded with the most important operational details and contains no filler.

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

Completeness3/5

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

Despite clear core-purpose coverage, a tool with 10 optional parameters and no output schema carries more contextual burden. The description omits pagination, filtering parameters, default ordering, and return shape details, leaving agents to guess for less common calls. It is a viable basic definition but not fully complete.

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

Parameters2/5

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

The input schema has 10 parameters but 0% description coverage. The description explains only video_id semantically and mentions video_ids/channel_ids as bulk options; order, account, page_token, max_results, search_terms, moderation_status, and channel_id remain unexplained. The description does not sufficiently compensate for the schema's lack of descriptions.

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 states a specific function: fetching top-level YouTube comment threads (with existing replies), and explicitly distinguishes it from youtube_comments by calling it the source of parent_id for youtube_comment_reply. It describes a concrete resource and scope.

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

Usage Guidelines5/5

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

The description explicitly says to prefer this tool over youtube_comments when the intent is to reply, and explains the no-video_id case for scanning an entire channel ('what I haven't replied yet'). This is clear when-to-use and alternative-selection guidance.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.