User asks about Meta/Facebook/Instagram placement performance, which placements work best, Feed vs Stories vs Reels, should they use Audience Network, or wants placement optimization recommendations.
This tool analyzes placement-level performance (Feed, Stories, Reels, Audience Network, Messenger, etc.) and provides optimization recommendations including budget reallocation suggestions.
Returns:
When to use this tool:
Parameters:
Execution time: 2-5 seconds (cached database query with analysis) Data source: meta_placement_daily_metrics table (placement-level daily metrics)
ROAS Thresholds for Recommendations:
<1.0x): Remove from campaignsMeta Placements Analyzed:
Common Insights:
API key from https://adspirer.ai/keys. Prefix sk_live_. Treat as a secret — never commit.
Client-generated UUID to make writes idempotent. Strongly recommended for write tools. A repeat call with the same key returns the cached result instead of re-executing. Example: 550e8400-e29b-41d4-a716-446655440000
All tool arguments are wrapped in an arguments object. The fields accepted inside arguments are listed below — required fields are marked with a red asterisk.
Input schema for Meta placement optimization analysis
Tool executed successfully. data.text carries the human-readable result (markdown-friendly). data.quota shows your current usage against the plan limit. data.structured appears when the tool emits machine-parseable structured content. data.content appears for tools that return non-text blocks (images, resources).
Returned on HTTP 200. data.text is the primary human-readable output. data.quota is always present for billable calls. data.structured is set only when the tool emits machine-parseable structured content. data.content is set only when the tool emits non-text content blocks.