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erayendes

Heimdall App Store Connect MCP

builds__perf_power_metrics__list

Read-onlyIdempotent

Retrieve performance and power metrics for a specific build to analyze app efficiency and diagnose issues.

Instructions

List the perf power metrics belonging to a build. [GET /v1/builds/{id}/perfPowerMetrics]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesID from the matching list call.
next_urlNoAbsolute links.next URL from a previous response.
filter_platformNofilter by attribute 'platform'
filter_deviceTypeNofilter by attribute 'deviceType'
filter_metricTypeNofilter by attribute 'metricType'

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv2.0.1
    • addedInput schema / properties / id / description
      Added value: +"ID from the matching list call."
  2. Changed2 schema fields changedv2.0.0
    • removedInput schema / properties / id / description
      Removed value: -"Resource identifier."
    • changedInput schema / properties / next_url / description
      Previous value: -"Absolute `links.next` URL from a previous response, to fetch the next page. When set, all other parameters are ignored."New value: +"Absolute links.next URL from a previous response."
  3. First observedv1.3.0

TDQS

A3.7/5.0
Behavior3/5

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

Annotations already declare this as a safe, idempotent read operation (readOnlyHint=true, idempotentHint=true, destructiveHint=false), so the description doesn't need to repeat safety. It adds the endpoint but does not disclose additional behavior such as pagination handling or response structure, which is a minor gap.

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 a single sentence plus endpoint, front-loading the verb and resource with no extraneous information. It is concise and well-structured.

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

Completeness3/5

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

The tool is relatively simple, and the schema and annotations cover parameters and safety. However, with no output schema, the description does not explain what the response contains or how pagination via next_url works, leaving a minor completeness gap.

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%, with each parameter having a description (e.g., 'ID from the matching list call', 'filter by attribute platform'). The tool description adds no additional parameter semantics beyond the schema, so the baseline 3 is appropriate.

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 action ('List') and the resource ('perf power metrics belonging to a build'), and includes the endpoint. This distinguishes it from app-level metric tools like apps__perf_power_metrics__list.

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 implies use when you need metrics for a specific build, but does not explicitly state when to prefer this over alternatives such as apps__perf_power_metrics__list. No exclusions or alternative guidance is provided.

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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