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OrellBuehler

testflight-mcp

by OrellBuehler

list_crash_feedback

Retrieve crash feedback submissions from TestFlight beta testers, including comments, device/OS details, and crash log references. Filter by build, platform, OS, or tester to analyze crashes per app version.

Instructions

List TestFlight crash feedback submissions for an app. Each submission includes any tester comment, device/OS details, the resolved tester and build, and a reference to the downloadable crash log (use get_crash_log). The build carries its build number (build.version) and the TestFlight/marketing version (build.preReleaseVersion.version, e.g. '1.2.0'). By default only the latest pre-release version's feedback is returned (set app_version to a specific version or 'all'). Filter by build, platform, device, OS or tester.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sortNoSort order (default: -createdDate, newest first)
limitNoMax items to return (default: 50)
app_idYesApp Store Connect app ID (from list_apps)
build_idNoFilter to a single build ID
tester_idNoFilter by beta tester ID
os_versionNoFilter by OS version string
app_versionNoPre-release (marketing) version to filter by, e.g. '1.2.0'. Defaults to 'latest' — only the most recent version's feedback is returned; older versions are excluded. Pass 'all' to include every version. Ignored when build_id is set.
app_platformNoFilter by app platform
device_modelNoFilter by device model, e.g. 'iPhone15,2'
device_platformNoFilter by device platform
Behavior4/5

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

With no annotations provided, the description carries full burden. It discloses key behavioral traits: default sorting (newest first), default limit (50, max 200), effect of app_version parameter (default 'latest', ignored when build_id set), and return fields (tester comment, device/OS, etc.). Missing details like pagination or rate limits, but overall transparent.

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 concise, front-loading the main purpose and then progressively adding detail about default behavior and filtering options. Every sentence contributes meaning without redundancy.

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 10 parameters, 100% schema coverage, and no output schema, the description explains what the output contains and references get_crash_log for crash log download. It does not explicitly mention pagination or list structure, but the information is otherwise complete for an API tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with descriptions for all properties. The description adds value by explaining defaults (app_version default 'latest', sort default '-createdDate'), relationships (app_version ignored when build_id set), and output semantics (build.version and build.preReleaseVersion.version).

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 it lists TestFlight crash feedback submissions for an app, including specific details like tester comments, device/OS, resolved tester and build, and a reference to the crash log. It distinguishes itself from sibling tools like get_crash_feedback and get_screenshot_feedback by implying a list vs. single retrieval.

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

Usage Guidelines4/5

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

The description explains default behavior (latest pre-release version only) and how to override (set app_version or 'all'), and lists available filters (build, platform, device, OS, tester). It does not explicitly state when not to use the tool or mention alternatives, but the guidance is sufficient for typical use.

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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