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TikTok data for agents

tiktok_user_followings

Paid ($0.004). User followings — TikTok. Live data as JSON. Pay with x402 or an Authorization: Bearer bby_live_... credits key.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesRequired. Path parameter.
cursorNoOptional.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

C2.8/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden. It usefully discloses that the operation is paid, the cost, acceptable payment methods, and that output is live JSON. However, it does not mention pagination via cursor, error behavior, rate limits, or confirm it is read-only, which are left to inference.

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 very short and scannable, with cost and payment instructions front-loaded. The phrase 'User followings — TikTok' is redundant with the tool name, but no words are wasted overall.

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?

There is no output schema and no annotations, so the description must explain both inputs and expected outputs. It covers payment and JSON format but not what 'id' identifies, what data the followings result contains, or how cursor pagination works. This is not complete enough for reliable invocation without external context.

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 baseline is 3. The description adds nothing about the parameters: 'id' remains ambiguous as a path parameter and 'cursor' is only labeled optional, so the agent gains no extra semantic understanding from the description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description says 'User followings — TikTok' but lacks an explicit verb such as 'List' or 'Retrieve.' It mostly restates the tool name and implies data output via 'Live data as JSON,' but it does not clearly state that the tool returns the list of accounts a user follows.

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?

There is no guidance about when to use this tool versus similar siblings like tiktok_user_followers or tiktok_user_posts. The description only covers payment, data freshness, and format, leaving any usage context to be inferred from the tool name.

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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