Skip to main content
Glama
lanternrow

youtube-organic-mcp

by lanternrow

get_video_details

Retrieve views, likes, comments, duration, and tags for up to 50 YouTube video IDs in a single request.

Instructions

Get details (views, likes, comments, duration, tags) for specific YouTube video IDs. Max 50 IDs per request.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
accountNoAccount name to query. Use list_accounts to see available options. Defaults to the first configured account.
video_idsYesArray of YouTube video IDs to query (max 50).
Behavior3/5

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

No annotations exist, so description carries full burden. It discloses batch size and retrieved fields but does not mention error handling, rate limits, or permissions. Adequate but not exhaustive.

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?

Two concise sentences front-load key information: retrieved fields and batch limit. No redundancy or 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 no output schema, description lists some return fields which helps. Covers required params, batch limit, and optional account. Could mention response structure or error cases for completeness.

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 coverage is 100% so baseline applies. The description adds batch limit context to video_ids and mentions account defaults briefly, but does not elaborate on format or constraints beyond schema.

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 explicitly states the tool retrieves details (views, likes, comments, duration, tags) for specific YouTube video IDs, with a batch limit of 50 IDs. This clearly differentiates it from sibling tools like get_video_analytics, which focuses on analytics.

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?

The description specifies to use for specific video IDs and includes a batch limit, implying when to use. It lacks explicit exclusions or alternatives but the context of sibling tools (e.g., get_channel_info) provides implicit guidance.

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/lanternrow/youtube-organic-mcp'

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