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TrueScrape

tiktok: Popular songs

tiktok_popularSongs
Read-only

Popular songs. Sounds trending in a market, the endpoint behind music A&R and sync-licensing research. From TikTok's Creative Center. Costs 1 credit.

Input Schema

NameRequiredDescriptionDefault
countNoItems per page (default 20, max 50)
cursorNo`pagination.cursor` from a previous response
periodNoTrailing window in days: 7, 30 or 1207
regionNoTwo-letter market code (US, GB, ID…). TikTok feeds and catalogues are per-market.
cache_max_ageNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already declare readOnlyHint and openWorldHint, so safety is covered. The description adds genuinely non-obvious operational context the annotations do not carry: the data source (TikTok Creative Center) and a billing cost of 1 credit per call. It stops short of describing the ranked-chart return shape or the default trailing window.

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?

Roughly 30 words, purpose front-loaded in the first two words, with cost placed at the end where it is easy to scan. The A&R/sync-licensing sentence earns its place as routing context, though the one-word "Popular songs." opener is slightly choppy.

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

Completeness3/5

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

For a zero-required-parameter, read-only listing tool with no output schema, the description covers what it returns (a set of trending songs) and what it costs. It leaves gaps on pagination behavior and on whether results are ranked or merely a set, which matters since cursor and count exist and there is no output schema to answer that.

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 80%, so parameters are largely documented in the schema itself and 3 is the baseline. The description reinforces the per-market nature of the data (relevant to region) but says nothing that clarifies period, count, or cursor beyond what the schema already states.

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?

"Popular songs. Sounds trending in a market" gives a specific resource plus a scope qualifier (trending, per-market) that separates it from the catalogue-lookup siblings like tiktok_song or tiktok_songVideos. It never names those siblings explicitly, so an agent still has to infer the boundary, but the function itself is unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The phrase "the endpoint behind music A&R and sync-licensing research" hints at the intended use case, which is useful routing context. However, there is no explicit when-to-use/when-not guidance and no named alternative for point lookups on a specific song or for a song's videos.

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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