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andrealufino

aapl-ads-mcp

get_campaign_report

Retrieve Apple Search Ads campaign performance metrics, including impressions, taps, installs, and spend. Results are grouped by country/region with grand totals. Supports custom date ranges and granularity (hourly to monthly).

Instructions

Fetch performance metrics for Apple Search Ads campaigns: impressions, taps, tap-through rate (TTR), localSpend, avgCPT, avgCPM, tapInstalls, viewInstalls, totalInstalls, new downloads, redownloads, CPI, and install rate. Requires ASA authentication; read-only. Use get_ad_group_report or get_keyword_report for deeper breakdowns. Results are grouped by country/region and include grand totals. Defaults to the last 30 days with WEEKLY granularity.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
startDateNoStart of the reporting period (YYYY-MM-DD). Defaults to 30 days ago.
endDateNoEnd of the reporting period (YYYY-MM-DD). Defaults to today.
granularityNoTime granularity for the breakdown rows: HOURLY, DAILY, WEEKLY, or MONTHLY. Defaults to WEEKLY.
campaignIdsNoRestrict results to these campaign IDs. Omit to include all campaigns in the org.
Behavior4/5

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

With no annotations, the description carries full burden. It mentions authentication requirements and read-only nature. It also describes grouping and grand totals. Could be more explicit about return format, but sufficient.

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?

The description is concise (4 sentences), well-structured, and front-loaded with the main action. No unnecessary 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?

Given no output schema, the description explains what metrics are returned, grouping, defaults, and authentication. It is complete for the tool's complexity.

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

Parameters4/5

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

Schema coverage is 100%, so baseline 3. Description adds value by specifying defaults (last 30 days, WEEKLY granularity) and mentioning grouping by country/region, which is not in schema.

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 it fetches performance metrics for Apple Search Ads campaigns, listing specific metrics. It distinguishes itself from siblings by mentioning get_ad_group_report and get_keyword_report for deeper breakdowns.

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?

The description explicitly tells when to use alternatives ('Use get_ad_group_report or get_keyword_report for deeper breakdowns') and provides default behavior (last 30 days, WEEKLY granularity).

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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