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List App Store in-app events

list_app_events
Read-onlyIdempotent

Read, live from App Store Connect, the app's in-app events (past ones included): badge, eventState (DRAFT, WAITING_FOR_REVIEW, APPROVED, PUBLISHED, PAST…), deep link, dates per territory, and per locale the name, descriptions and the processing state of the card and details images.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "appId": "<appId>"
    },
    "name": "list_app_events"
  }
}

Input Schema

NameRequiredDescriptionDefault
appIdYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive, openWorld), so the bar is lower, and the description still adds real context: the data is fetched live rather than cached, past events are included, and the eventState lifecycle values are enumerated. It does not say whether results are paginated or how large a payload to expect.

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?

A single front-loaded sentence that leads with the verb and the live-source qualifier before listing return fields. It is dense but every clause carries information; a field list of this length is acceptable but borders on enumerating the response schema in prose.

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?

With no output schema, the description carries the return-value burden and does so well, naming the concrete fields an agent will receive. Combined with annotations covering safety and a single required parameter, nothing essential for correct invocation is missing.

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?

Schema description coverage is 0% for the single parameter, and the description never mentions appId, so it does not compensate for the gap. The parameter name is largely self-explanatory in context ('the app's in-app events'), which keeps this at an adequate rather than poor level.

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 opens with a specific verb and resource ('Read ... the app's in-app events') and enumerates the returned fields (badge, eventState, deep link, per-territory dates, per-locale names). The resource is clearly distinct from siblings like list_listings or list_reviews, though it never names an alternative to sharpen the boundary.

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

Usage Guidelines3/5

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

Usage is only implied: 'live from App Store Connect' and 'past ones included' suggest an authoritative, unfiltered read, but there is no explicit when-to-use, when-not-to-use, or pointer to a sibling tool. An agent can infer the purpose from the narrow resource name, but nothing steers it between this and, say, get_app.

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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