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BACH-AI-Tools

YouTube Media Downloader

get_post_details

Retrieve YouTube community post details including content, author, and engagement data for analysis or integration purposes.

Instructions

This endpoint fetches details of a YouTube community post.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
postIdYesExample value: Ugkx-rW0UIVSt9Aw-ux-w16DlRW-wwKwfwnp
langNoLanguage code (IETF language tag) for localized results. Defaults to en-US. Unsupported code will fallback to en-US.
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states this is a read operation ('fetches'), but lacks details on permissions, rate limits, error handling, or response format. This is inadequate for a tool with potential API constraints, though it doesn't contradict any 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 a single, efficient sentence that directly states the tool's purpose without unnecessary words. It's front-loaded with the core functionality, making it easy for an agent to parse quickly.

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

Completeness2/5

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

Given no annotations and no output schema, the description is incomplete. It doesn't explain what 'details' include (e.g., text, images, metrics) or behavioral aspects like authentication needs. For a tool fetching data from a complex API like YouTube, this leaves significant gaps for an agent.

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 both parameters (postId and lang). The description adds no parameter-specific information beyond what the schema provides, such as examples or constraints, resulting in a baseline score of 3.

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 action ('fetches details') and resource ('YouTube community post'), making the purpose unambiguous. However, it doesn't differentiate this tool from sibling tools like 'get_channel_details' or 'get_video_details_price_1_3', which follow a similar pattern for different YouTube resources.

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 doesn't mention sibling tools like 'list_channel_posts_pollvideoimage' for listing posts or 'list_post_comments' for post comments, leaving the agent to infer usage context from the tool name alone.

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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