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App Store Connect MCP Server

by concavegit

list_beta_groups

Retrieve all internal and external beta testing groups for iOS/macOS apps to manage testers and distribution through App Store Connect.

Instructions

Get a list of all beta groups (internal and external)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of groups to return (default: 100)

Implementation Reference

  • The main handler function that executes the tool logic by querying the App Store Connect API for beta groups.
    async listBetaGroups(args: { limit?: number } = {}): Promise<ListBetaGroupsResponse> {
      const { limit = 100 } = args;
      
      return this.client.get<ListBetaGroupsResponse>('/betaGroups', {
        limit: sanitizeLimit(limit),
        include: 'app,betaTesters'
      });
    }
  • TypeScript interfaces defining the BetaGroup structure and ListBetaGroupsResponse used for type safety in handler and responses.
    export interface BetaGroup {
      id: string;
      type: string;
      attributes: {
        name: string;
        isInternalGroup: boolean;
        publicLinkEnabled: boolean;
        publicLinkId?: string;
        publicLinkLimit?: number;
        createdDate: string;
      };
    }
    
    export interface BetaTester {
      id: string;
      type: string;
      attributes: {
        firstName: string;
        lastName: string;
        email: string;
        inviteType: string;
        betaGroups?: BetaGroup[];
      };
    }
    
    export interface ListBetaGroupsResponse {
      data: BetaGroup[];
    }
    
    export interface ListBetaTestersResponse {
      data: BetaTester[];
    }

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior2/5

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

No annotations are provided, and the description does not disclose behavioral traits such as pagination, ordering, or rate limits. It only restates the basic purpose.

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?

Single sentence with no wasted words. The key information (verb, resource, scope) is front-loaded.

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 tool's simplicity (one optional parameter, no output schema), the description is sufficient for an agent to understand it provides a list of all beta groups. Slightly more context about what 'internal and external' means could help, but it's not critical.

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 coverage is 100%, and the schema already describes the 'limit' parameter with its range and default. The description adds no additional meaning beyond what the schema provides.

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 verb 'Get a list of', the resource 'beta groups', and the scope 'all (internal and external)'. This distinguishes it from sibling tools like 'list_group_testers'.

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?

The description does not include explicit when or when-not to use, but the purpose is simple and implies a general listing operation. Alternatives are not mentioned, but the context is clear.

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