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lanternrow

tiktok-organic-mcp

by lanternrow

get_video_details

Retrieve performance metrics for TikTok videos by ID. Get views, likes, comments, shares, and duration for up to 20 videos per request.

Instructions

Get detailed performance metrics for specific TikTok videos by ID. Returns views, likes, comments, shares, duration, and more. Max 20 video 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 TikTok video IDs to query (max 20)
Behavior3/5

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

No annotations are provided, so the description must disclose behavior. It states the tool returns metrics and limits to 20 IDs, but does not explicitly indicate it is read-only or discuss rate limits. This is adequate but could be clearer.

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 sentences, front-loaded with purpose, no wasted words. Every sentence adds key information: what the tool does, what it returns, and a constraint.

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?

Given no output schema, the description lists return metrics (views, likes, etc.) and the ID limit. It covers the tool's core behavior and constraints. Missing explicit read-only mention but otherwise complete for a simple read tool.

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

Parameters4/5

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

Schema coverage is 100%, but the description adds value by specifying the max 20 IDs (reinforcing schema) and advising to use list_accounts for the account parameter. This goes beyond the schema's 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 clearly states the tool gets detailed performance metrics for specific TikTok videos by ID, listing specific metrics (views, likes, comments, shares, duration) and a limit of 20 IDs. This distinguishes it from siblings like list_accounts or get_user_info.

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 implies when to use (need metrics for specific videos) and mentions a batch limit, but does not explicitly state when not to use or provide alternatives. The sibling tools offer some context.

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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