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app-store-connect-mcp

app-store-connect-mcp

by devinwang
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
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game_center_matchmaking_queues_matchmaking_requests_get_metrics

Retrieve matchmaking request metrics for a specific Game Center queue to analyze counts, queue wait times, and outcomes by result or gameCenterDetail.

Instructions

GET /v1/gameCenterMatchmakingQueues/{id}/metrics/matchmakingRequests (GET /v1/gameCenterMatchmakingQueues/{id}/metrics/matchmakingRequests)

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": "game_center_matchmaking_queues_matchmaking_requests_get_metrics"
  }
}

Input Schema

NameRequiredDescriptionDefault
idYesthe id of the requested resource
sortNocomma-separated list of sort expressions; metrics will be sorted as specified
limitNomaximum number of groups to return per page
groupByNothe dimension by which to group the results
granularityNothe granularity of the per-group dataset
filter_resultNofilter by 'result' attribute dimension
filter_gameCenterDetailNofilter by 'gameCenterDetail' relationship dimension

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.5.0

TDQS

D1.7/5.0
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 behavioral burden, and it discloses nothing: no rate limits, no pagination behavior, no authentication requirements, no note that this is a read-only metrics query over a time window.

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 the brevity comes from under-specification rather than economy; the parenthetical repeat of the same path is pure redundant filler and there is no informative content to be front-loaded.

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?

For a 7-parameter metrics endpoint with no annotations and no output schema, the description should at minimum explain what metrics are returned and how the grouping/granularity works. It supplies none of this, leaving the agent with only a URL.

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% and every parameter (sort, limit, groupBy, granularity, filters) is documented in the schema, so the baseline of 3 applies. The description contributes no additional meaning about how the metrics parameters interact or what the granularity/filter combinations imply.

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 is nothing but the raw HTTP route restated, duplicated verbatim in parentheses. It effectively repeats what the tool name already encodes, adding no plain-language statement of what the endpoint returns or why an agent would call it.

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

Usage Guidelines1/5

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

There is no guidance whatsoever on when to use this tool, no mention of prerequisites, and no differentiation from the many sibling metrics tools such as game_center_matchmaking_queues_matchmaking_queue_sizes_get_metrics or the experiment variant.

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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