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meta_ads_analysis_placements

Identify underperforming or overperforming Meta ad placements. Score delivery efficiency per placement and get recommendations (exclude/keep/scale) to fix rising CPA by isolating drag or lift.

Instructions

Scores delivery efficiency across Meta placements (Facebook Feed, Instagram Feed, Stories, Reels, Audience Network, Messenger, etc.) and flags the best and worst. Returns rows per placement with spend, conversions, CPA, ctr, and a recommendation (exclude / keep / scale). Read-only. Call this when CPA drifts on a campaign to find whether a single placement is dragging the average. For raw numbers use meta_ads_insights_breakdown with breakdown='placement'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
account_idNoMeta Ads account ID in the format 'act_XXXXXXXXXX' (e.g. 'act_1234567890'). Optional — falls back to META_ADS_ACCOUNT_ID from the configured credentials. The leading 'act_' prefix is required.
campaign_idYesCampaign to analyse.
periodNoAnalysis window. Accepts Meta predefined ranges ('today', 'yesterday', 'last_7d', 'last_14d', 'last_30d' (default), 'last_90d', 'this_month', 'last_month') or explicit 'YYYY-MM-DD..YYYY-MM-DD' (both endpoints inclusive). Longer windows cost more Graph API quota.
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Declares read-only nature and mentions longer windows cost more Graph API quota. Fully carries burden since no annotations provided, though additional detail on potential side effects could be added.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences front-loaded with purpose and action trigger, no wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Despite no output schema, description lists returned fields (spend, conversions, CPA, ctr, recommendation) and explains the analysis context, making it complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 100% schema coverage, the description does not add new parameter-level detail beyond the schema. Baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool scores delivery efficiency across Meta placements, listing specific placements and distinguishing from sibling meta_ads_insights_breakdown which provides raw numbers.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly advises calling when CPA drifts to identify underperforming placements, and directs to meta_ads_insights_breakdown for raw numbers, providing clear context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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