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tiktok_ad_library_search

Search TikTok Commercial Content Library — relevance-filtered, uniform null schema (2 credits native, 5 via fallback). Costs 2 credits (5 via fallback path). Empty results and failures are never charged. Pass cache=true for a free 24h cache hit (default always fresh).

Input Schema

NameRequiredDescriptionDefault
qYesKeyword or advertiser to search TikTok Commercial Content Library (min 2 characters).
cacheNoSet true to serve from the 24h response cache (0 credits on hit). Default false — always fetch fresh.
limitNoMax items to return (default 20, max 200). Does not change the price: 2 credits native, 5 via the fallback path, 0 when empty.
matchNoKeyword token mode: "any" (default, OR whole-word) or "all" (AND). hair ≠ wheelchair. Literal hits lead; already-fetched SERP ads fill behind them up to limit (matchedFrom [] = ranked fill). Empty results are free.
countryNoTwo-letter ISO country code (e.g. GB, DE, FR). Default GB. TikTok's Commercial Content Library only covers the EU/EEA, the UK and Switzerland (32 countries) — other codes (US, SA, …) return 400 UNSUPPORTED_REGION with the supported list; TikTok has no ad-library data for them.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / limit / description
      Previous value: -"Max items to return (default 20, max 200). Flat 2 credits per call."New value: +"Max items to return (default 20, max 200). Does not change the price: 2 credits native, 5 via the fallback path, 0 when empty."
  2. Changed2 schema fields changed
    • changedInput schema / properties / country / description
      Previous value: -"Two-letter ISO country code (e.g. GB, DE, FR). Default GB (EU DSA library; US often empty)."New value: +"Two-letter ISO country code (e.g. GB, DE, FR). Default GB. TikTok's Commercial Content Library only covers the EU/EEA, the UK and Switzerland (32 countries) — other codes (US, SA, …) return 400 UNSUPPORTED_REGION with the supported list; TikTok has no ad-library data for them."
    • changedInput schema / properties / match / description
      Previous value: -"Keyword token mode: \"any\" (default, OR whole-word) or \"all\" (AND). hair ≠ wheelchair. Empty results are free."New value: +"Keyword token mode: \"any\" (default, OR whole-word) or \"all\" (AND). hair ≠ wheelchair. Literal hits lead; already-fetched SERP ads fill behind them up to limit (matchedFrom [] = ranked fill). Empty results are free."
  3. Changed1 schema field changed
    • changedInput schema / properties / cache / description
      Previous value: -"Set true to serve from the 24h response cache (0 credits on hit). Default false — always fetch fresh. Envelope includes cached + cachedAt on hits."New value: +"Set true to serve from the 24h response cache (0 credits on hit). Default false — always fetch fresh."
  4. Changed5 schema fields changed
    • changedInput schema / properties / cache / description
      Previous value: -"Set true to serve from the 24h response cache. Default false — always fetch fresh data."New value: +"Set true to serve from the 24h response cache (0 credits on hit). Default false — always fetch fresh. Envelope includes cached + cachedAt on hits."
    • changedInput schema / properties / country / description
      Previous value: -"ISO country code. Default GB (US often empty)."New value: +"Two-letter ISO country code (e.g. GB, DE, FR). Default GB (EU DSA library; US often empty)."
    • changedInput schema / properties / limit / description
      Previous value: -"Max items to return. Default 20, max 200. Billed per result."New value: +"Max items to return (default 20, max 200). Flat 2 credits per call."
    • changedInput schema / properties / match / description
      Previous value: -"Keyword mode: \"any\" (default) or \"all\"."New value: +"Keyword token mode: \"any\" (default, OR whole-word) or \"all\" (AND). hair ≠ wheelchair. Empty results are free."
    • changedInput schema / properties / q / description
      Previous value: -"Search query or keywords (min 2 chars)."New value: +"Keyword or advertiser to search TikTok Commercial Content Library (min 2 characters)."
  5. Changed1 schema field changed
    • addedInput schema / properties / match
      Added value: +{
+  "description": "Keyword mode: \"any\" (default) or \"all\".",
+  "type": "string"
+}
  6. Changed1 schema field changed
    • changedInput schema / properties / country / description
      Previous value: -"ISO country code. Default DE."New value: +"ISO country code. Default GB (US often empty)."
  7. Changed1 schema field changed
    • changedInput schema / properties / cache / description
      Previous value: -"Responses are cached for 24 hours by default. Set false to bypass the cache and always fetch fresh data (default true)."New value: +"Set true to serve from the 24h response cache. Default false — always fetch fresh data."
  8. Changed1 schema field changed
    • addedInput schema / properties / cache
      Added value: +{
+  "description": "Responses are cached for 24 hours by default. Set false to bypass the cache and always fetch fresh data (default true).",
+  "type": "boolean"
+}
  9. Added

TDQS

A3.5/5.0
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 delivers meaningful behavioral detail: credit pricing (2 native, 5 fallback), the guarantee that empty results and failures are never charged, and caching semantics (default always fresh, cache=true gives a free 24h hit). It omits auth requirements and rate limits, but the billing/charging disclosure is unusually thorough.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

It is short but redundant: '2 credits native, 5 via fallback' is stated twice in two consecutive sentences, and 'uniform null schema' is unexplained filler. The cache tip is front-loaded reasonably, but the pricing restatement wastes space.

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 keyword-search tool with no output schema, the description is adequate on cost and caching but says nothing about the shape of results (e.g., ad fields returned) or pagination beyond the schema's limit note. The region constraint and match behavior live only in the schema, not the description, leaving the narrative incomplete.

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 schema already documents every parameter (q, cache, limit, match, country) in depth. The description only echoes the cache behavior and pricing, adding little beyond the schema. Baseline 3 is appropriate when the schema does the heavy lifting.

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?

States a specific verb and resource: 'Search TikTok Commercial Content Library.' It is distinguishable from siblings like tiktok_ad_library_ad_details (details lookup) and tiktok_ad_library_top_ads (ranked top ads), though it never names them explicitly. The 'uniform null schema' phrase is opaque jargon that muddies rather than clarifies purpose.

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?

It gives concrete guidance on the cache parameter ('Pass cache=true for a free 24h cache hit') and cost implications, which is implied usage context. However, it never states when to choose this tool over tiktok_ad_library_top_ads or the other ad-library siblings, nor any prerequisite conditions for a keyword search.

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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