RecipeTikTok Ads
Review the TikTok video asset library in use
The video asset inventory behind active ads, for production planning and fatigue context.
IntentWhich videos run, their ages, and reuse across ad groups.
- 2
- Steps
- 2
- Tools
- 1
- Rules
- 1
- Failure modes
When to use it
Use it when
- Before creative production.
- Fatigue investigations.
Do not use it when
- No specific contraindication beyond the preconditions below.
What it needs first
Required
Preconditions
- The account is ticked in the dashboard, confirmed via list_accounts.
Inputs
window- Analysis window.Default: last 30 days.
Procedure
In order. Every tool named is one the gateway ships, and links to its reference.
Pull video assets referenced by ads.
Group by age and usage, flag the stale-but-spending.
Decision rules
The observable condition, what it lets you conclude, and what takes the conclusion back.
When
Most spend sits on videos older than the refresh cycle
Conclude
Production pipeline is the constraint: quantify it.
Evidence every conclusion must carry
- Every figure carries its account, metric and window.
- Anything below a readable sample size is reported as unjudged, not as zero.
Where the agent stops
- The readout changes nothing. Any change it motivates goes through Safe Writes: preview, human confirmation, then apply.
How it goes wrong quietly
The cases where the analysis is wrong and still looks right. Read them before trusting a number.
- Catalogue ads carry no owned video: their absence from the library is structural, not missing data.
What the answer contains
- 01Readout
- The figures, with windows and accounts named.
- 02Flags
- What deserves a deeper skill or a human decision.