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Fourni-j

App Store Connect MCP Server

by Fourni-j

get_sales_report

Download and parse App Store Connect sales and install reports. Return structured rows with units, customer price, country, and device fields.

Instructions

Download and parse App Store Connect sales/installs reports. Returns structured rows with fields: title, units, customerPrice, developerProceeds, countryCode, device, productType, etc. Vendor number is auto-resolved from ASC_VENDOR_NUMBER env var if not provided.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
frequencyYesReport frequency
reportDateNoReport date (YYYY-MM-DD). Defaults to most recent available.
reportTypeYesType of report
vendorNumberNoVendor number from App Store Connect. If omitted, uses the ASC_VENDOR_NUMBER environment variable.
reportSubTypeYesReport sub-type
Behavior3/5

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

No annotations exist, so the description carries the full burden. It discloses that the tool returns structured rows with specific fields and auto-resolves vendor numbers from environment variables. However, it does not mention important behavioral traits like authentication needs, rate limits, or whether it is read-only.

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 two sentences, front-loading the core purpose and output, then adding a key detail about vendor number. Every sentence earns its place with no wasted words.

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

Completeness4/5

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

Given the complexity (5 parameters, 3 required, 3 enums) and absence of an output schema, the description compensates by listing common output fields. It could mention default date behavior, but it is largely complete.

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 the baseline is 3. The description adds value by explaining the vendor number auto-resolution from environment variables and listing output fields, which are not in the 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 uses a specific verb ('Download and parse') and resource ('App Store Connect sales/installs reports'), clearly distinguishing it from sibling tools like 'get_analytics_report' or 'get_downloads_summary'. It also lists output fields, reinforcing its purpose.

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. It mentions automatic vendor number resolution but does not state prerequisites, limitations, or when not to use it.

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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