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get_ad_insights

Retrieve performance metrics for a specific ad, including impressions, clicks, spend, and more. Break down results by age, gender, country, or device platform.

Instructions

Get performance insights for a specific ad.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ad_idYesAd ID
fieldsNoComma-separated insight fieldsimpressions,clicks,spend,reach,frequency,cpc,cpm,ctr,actions,cost_per_action_type
breakdownsNoBreakdown dimensions: age,gender,country,region,placement,device_platform
date_presetNoDate preset: TODAY,YESTERDAY,LAST_7D,LAST_14D,LAST_30D,THIS_MONTH,LAST_MONTH,THIS_QUARTER,LAST_QUARTER,THIS_YEAR,LAST_YEAR
time_rangeNoJSON string {since,until} in YYYY-MM-DD format
time_incrementNoTime granularity: all_days, 1, 7, monthly
filteringNoJSON string for filtering
levelNoAggregation level: campaign, adset, ad
Behavior2/5

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

With no annotations, the description carries full burden for behavioral disclosure but only states 'Get performance insights'. It does not mention API rate limits, pagination, data freshness, or any side effects, leaving the agent without critical context.

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

Conciseness4/5

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

The description is a single, very short sentence that directly states the purpose without any fluff. It is front-loaded and efficient, though for an 8-parameter tool, slightly more detail could be justified without harming conciseness.

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

Completeness2/5

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

Given the tool's complexity (8 parameters, no output schema, no annotations), the description is far too minimal. It fails to explain return format, error handling, or how to effectively use optional parameters, leaving significant gaps for the agent.

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?

The input schema has 100% description coverage, so each parameter already has a brief description. The tool description adds no additional meaning beyond the schema, resulting in a baseline score of 3.

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

Purpose4/5

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

The description uses a clear verb 'Get' and specifies the resource 'performance insights for a specific ad', which directly indicates the tool's functionality. However, it does not differentiate from sibling tools like 'get_adset_insights' or 'get_campaign_insights', which could lead to confusion.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives, no exclusions, and no context about prerequisites or limitations. The agent must rely solely on the tool name and description.

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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