Skip to main content
Glama
BACH-AI-Tools

BACH YouTube API MCP Server

post_comments

Retrieve comments and discussion threads from YouTube posts using the BACH YouTube API MCP Server, with options for sorting, pagination, and regional localization.

Instructions

Get post's comments or thread. Quota cost is 1 unit.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesPost Id
channelIdNoChannel Id
sort_byNoAvailable options: newest top [default]
tokenNoPagination token Alternatively, use X-TOKEN in header
geoNoISO 3166-2 country code of the region. Like US (default), GB, CA, IN, etc.
langNoLocale/language for request. Like en, gb, hi, etc
X-CACHEBYPASSNoCache bypass, the value must be 1 Quota Cost +1
X-TOKENNoAlternative way to pass Pagination token via headers. This will solve 414, URI too long issue.
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It discloses a quota cost (1 unit) and hints at additional costs for cache bypass, which is useful behavioral context. However, it lacks details on rate limits, authentication needs, error handling, or what the output looks like (e.g., comment structure).

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

Conciseness4/5

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

The description is a single, efficient sentence that front-loads the purpose and includes quota information. It avoids redundancy, but could be slightly more structured by separating purpose from behavioral notes.

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?

Given 8 parameters, no annotations, and no output schema, the description is moderately complete. It covers purpose and quota costs but misses details on output format, error cases, and usage context. For a tool with this complexity, it should provide more guidance to be fully adequate.

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 100%, so the schema fully documents all 8 parameters. The description adds no parameter-specific information beyond implying 'post' context for 'id' and 'channelId.' This meets the baseline of 3, as the schema does the heavy lifting.

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 purpose: 'Get post's comments or thread.' It specifies the action (get) and resource (post's comments/thread). However, it doesn't differentiate from sibling tools like 'comments' or 'post_details' beyond mentioning 'post's comments,' which is somewhat specific but not explicitly contrasted.

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

Usage Guidelines2/5

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. It mentions a quota cost, but doesn't specify prerequisites, exclusions, or compare it to sibling tools like 'comments' or 'post_details.' This leaves the agent without clear usage context.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/BACH-AI-Tools/bachai-yt-api'

If you have feedback or need assistance with the MCP directory API, please join our Discord server