User asks about Meta/Facebook/Instagram budget optimization, reallocating ad spend, maximizing conversions with their budget, or wants data-driven budget recommendations.
This tool uses linear programming (scipy.optimize) to find the optimal budget allocation across Meta Ads campaigns or ad sets to maximize conversions while respecting constraints.
Returns:
< 1.0)When to use this tool:
Parameters:
Execution time: 2-5 seconds (cached database query + optimization) Data source: campaign_daily_metrics + ad_group_daily_metrics tables
Key concepts:
Meta-specific considerations:
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 budget allocation optimization
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.