# Review the TikTok video asset library in use

> Tier: recipe. Operating recipe: real tool sequence, core rules, known traps.

The video asset inventory behind active ads, for production planning and fatigue context.

**Intent.** Which videos run, their ages, and reuse across ad groups.

## When to use

- Before creative production.
- Fatigue investigations.

## When not to use

- No specific contraindication beyond the preconditions below.

## Sources

Required: TikTok Ads

## Preconditions

- The account is ticked in the dashboard, confirmed via list_accounts.

## Inputs

- `window`: Analysis window. Default: last 30 days.

## Procedure

1. Pull video assets referenced by ads. — tools: `tiktok_get_video_assets`
2. Group by age and usage, flag the stale-but-spending. — tools: `tiktok_get_insights`

## Decision rules

- **When** Most spend sits on videos older than the refresh cycle → **conclude** Production pipeline is the constraint: quantify it.

## Evidence requirements

- Every figure carries its account, metric and window.
- Anything below a readable sample size is reported as unjudged, not as zero.

## Human approval boundary

- The readout changes nothing. Any change it motivates goes through Safe Writes: preview, human confirmation, then apply.

## Failure modes

- Catalogue ads carry no owned video: their absence from the library is structural, not missing data.

## Output

- **Readout**: The figures, with windows and accounts named.
- **Flags**: What deserves a deeper skill or a human decision.

## Related

- Skill: [creative-fatigue](https://www.getmcpads.com/skills/creative-fatigue.md)