Skip to main content
Glama

TokConnect: TikTok Research

recommended_videos

Get one native batch from TikTok's For You recommendation feed. Returns itemList with available creator, video, music and engagement fields. Recommendations reflect the service account/session and region, not the MCP user's personal feed or a global trending ranking. One request; no pagination parameter.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNoRequested page size, 1-30; default 10. TikTok may return a different number.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does well: it discloses the return container (itemList with creator, video, music and engagement fields), the feed's session/region scoping, and that the call is one-shot with no pagination. It omits rate limits, auth requirements, and any freshness/staleness behavior of the feed, which keeps it below 5.

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?

Four tight sentences, front-loaded with the action, followed by return shape, scope caveat, and invocation constraint. No filler and every sentence adds decision-relevant information.

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

Completeness5/5

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

No output schema exists, yet the description compensates by naming the return container and its fields, and with no annotations it still covers safety-relevant behavior (single request, no pagination) and scope semantics. Nothing an agent needs to call this correctly is missing.

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% and the single 'count' parameter is fully documented in the schema (range, default, and TikTok-return-may-differ caveat), so the schema does the heavy lifting. The description contributes only the framing that no pagination parameter exists — a useful but minor addition.

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?

States a specific verb and a precisely scoped resource: 'Get one native batch from TikTok's For You recommendation feed.' It explicitly disclaims two confusable scopes — the MCP user's personal feed and a global trending ranking — which is exactly what an agent needs to tell it apart from trending_topics or explore_videos.

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?

Gives strong negative scoping ('not the MCP user's personal feed or a global trending ranking'), which effectively tells the agent when this is the wrong tool, and the region/session caveat sets expectations. It stops short of naming an alternative tool to use instead, so it does not reach a 5.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources