# Check TikTok delivery status across the account

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

Delivery status across campaigns and ad groups: the serving truth behind the settings.

**Intent.** What is actually serving, what is rejected, what is limited, right now.

## When to use

- Underdelivery suspicions.
- Morning checks on launch days.

## 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 delivery status across the scope. — tools: `tiktok_get_delivery_status`
2. Group blockers by cause: review, budget, schedule, audience.

## Decision rules

- **When** Rejections cluster on one creative pattern → **conclude** One policy fix, not N appeals: name the pattern.

## 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

- In-review is not rejected: young ads in review are the process, not a problem.

## Output

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

## Related

- Skill: [campaign-anomaly-investigation](https://www.getmcpads.com/skills/campaign-anomaly-investigation.md)
