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youtube_comment_reply

Responde comentários como o canal conectado. Aceita VÁRIAS respostas numa chamada (replies), e um item que falha não derruba os outros. parent_id tem que ser o id de um comentário de TOPO (campo id do thread devolvido por youtube_comment_threads), nunca o id de uma resposta. Cada resposta consome 50 unidades da cota da API do YouTube, então responda o que importa em vez de varrer o canal.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
accountNo
repliesYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4/5.0
Behavior4/5

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

Annotations only mark the tool as not read-only, not idempotent, and not destructive, so the description carries the behavioral burden. It usefully discloses that individual item failures do not fail the entire batch, that `parent_id` must point to a top-level comment, and that each reply costs 50 YouTube API quota units. No contradiction with annotations was found.

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 compact and efficient: purpose, batching behavior, the `parent_id` constraint, and quota impact are all covered in a few sentences. There is no redundant or filler content.

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 mutation tool with no output schema and minimal annotations, the description provides strong practical context: it explains batch failure isolation, top-level-only replies, and the quota implication of each reply. It could be more explicit about the exact item shape and response/error behavior, but the core invocation requirements are covered.

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 0%, so the description needs to compensate. It does add value by explaining `replies` batching and the special meaning of `parent_id`, but it does not clearly explain the `text` field or the `account` parameter, leaving some ambiguity for callers.

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 clearly states the tool's action: 'Responde comentários como o canal conectado' (respond to comments as the connected channel). It also adds important scoping details like replying to top-level comments, but it does not explicitly contrast itself with sibling tools like youtube_comment_post or youtube_comment_update.

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

Usage Guidelines4/5

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

It gives concrete usage context: supports multiple replies in one call, `parent_id` must be a top-level thread id from youtube_comment_threads, and quota costs should discourage over-use. It does not explicitly state when NOT to use this tool versus its siblings, but the guidance is clear enough for likely use cases.

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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