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app-store-connect-mcp

app-store-connect-mcp

by devinwang
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TypeScript
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beta_groups_public_link_usages_get_metrics

Fetch public link usage metrics for a beta group to monitor TestFlight public invite link activity and adoption.

Instructions

GET /v1/betaGroups/{id}/metrics/publicLinkUsages (GET /v1/betaGroups/{id}/metrics/publicLinkUsages)

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": {
      "id": "<id>"
    },
    "name": "beta_groups_public_link_usages_get_metrics"
  }
}

Input Schema

NameRequiredDescriptionDefault
idYesthe id of the requested resource
limitNomaximum number of groups to return per page

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.5.0

TDQS

D1.9/5.0
Behavior1/5

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

No annotations are provided, so the description carries the full disclosure burden, and it supplies none. It does not say whether the endpoint is read-only, whether metrics are aggregated over a window, what latency or pagination behavior to expect, or what auth is required.

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

Conciseness2/5

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

It is short, but every character is redundant: the same endpoint string is printed twice with no added information. Being brief here reflects under-specification rather than disciplined conciseness.

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

Completeness1/5

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

This is a metrics endpoint with no output schema and no annotations, so the description was the only place to explain what the metrics contain and how to interpret them. It explains nothing, leaving the agent unable to use the result meaningfully.

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 100%, so both 'id' ('the id of the requested resource') and 'limit' ('maximum number of groups per page') are already documented by the schema. The description adds nothing on top, but baseline 3 applies when the schema does the heavy lifting.

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

Purpose2/5

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

The description does nothing but restate the tool name as a raw HTTP path, repeating it twice inside parentheses. It never explains in prose what 'publicLinkUsages metrics' measure (clicks? installs? unique visitors?) or how this differs from sibling metrics tools like beta_groups_beta_tester_usages_get_metrics.

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?

There is no when-to-use guidance, no mention of prerequisites (e.g. needing a beta group id from beta_groups_get_collection), and no distinction from the many other *_get_metrics siblings. An agent gets no help choosing this tool over alternatives.

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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