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Robot Actions — Remote Device Control

ios_launch_app_in_language

Launch an iOS app forced into a specific language / locale, without changing the device's system settings. Useful for QA testing app localization (e.g. open the app in Spanish without flipping the whole device to Spanish). Override is per-launch — relaunching the app outside this tool reverts to system language. Works whether or not an automation session is already open: it uses a running RDSRunner when there is one and pymobiledevice3's DVT launch when there is not, and says which it used. The target app must use NSLocalizedString / Bundle.main.localizedStringForKey at runtime (modern apps do; some legacy apps cache locale on first cold launch — kill via ios_kill_app and re-call this tool to force re-read).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
udidYesiOS device UDID
localeNoOptional BCP-47 / POSIX locale (defaults to <language>_<UPPER(language)>), e.g. "fr_FR", "es_US"
bundleIdYesApp bundle ID, e.g. com.apple.Preferences
languageYesISO 639-1 language code, e.g. "fr", "es", "en", "ja"

TDQS

A4.5/5.0
Behavior5/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure and does so thoroughly. It discloses the per-launch override, the fallback between RDSRunner and pymobiledevice3 DVT launch, that it reports which mechanism was used, and the legacy-app locale caching caveat with a concrete remediation (kill and re-call). This is exemplary transparency.

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 dense but every sentence earns its place: purpose, use case, override scope, session fallback mechanism, and a legacy caveat with a fix. The main idea is front-loaded, and no sentence is filler or redundant with the schema.

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

Completeness5/5

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

For a 4-parameter launch tool with no annotations and no output schema, the description is remarkably complete. It covers purpose, when to use it, behavioral edge cases, session handling, and the legacy-cache workaround. Nothing critical for an agent to call it correctly is missing.

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 the baseline is 3. The description adds a Spanish example and explains why the language override matters, but it does not add substantial parameter-level semantics beyond what the input schema already documents. It is neither deficient nor additive enough to exceed baseline.

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 uses a specific verb and resource: 'Launch an iOS app forced into a specific language / locale.' It clearly distinguishes itself from language-setting tools ('without changing the device's system settings') and from plain launch tools, so an agent can tell it apart from ios_launch_app and ios_set_device_language immediately.

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?

It explicitly identifies the primary use case: 'Useful for QA testing app localization.' It also clarifies the per-launch override semantics and the reversion to system language. However, it stops short of explicitly naming sibling alternatives and stating when not to use them, so the when-not guidance is implied rather than stated.

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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TDQS

B3.1/5.0
Disambiguation2/5

The set contains near-identical duplicate families: web_* and playwright_* expose ~15 pairs of the same desktop-grid-browser operations (web_get_text/playwright_get_text, web_reload/playwright_reload), and screenshot/log/network/mock capabilities each have 5-8 entry points (device_screenshot vs android_mjpeg_screenshot vs ios_screenshot vs ios_fast_screenshot vs web_screenshot vs webpage_screenshot vs session_screenshot). Many individual descriptions carefully draw boundaries (devtools vs traffic, HID vs session), but an agent cannot reliably distinguish web_* from playwright_*, and ios_screenshot/ios_fast_screenshot/ios_mjpeg_screenshot blur together.

Naming Consistency2/5

The prefix scheme is broken: Android functionality is split arbitrarily between android_* and device_* (device_screenshot vs android_mjpeg_screenshot), the desktop browser gets two parallel prefixes (web_* and playwright_*), and verbs vary across equivalents (device_navigate_url vs web_navigate vs ios_safari_navigate). session_* uses bare verbs (session_url, session_back), and the same concept gets different names (ios_clipboard_get_hid vs ios_get_pasteboard; device_screen vs ios_orientation).

Tool Count1/5

333 tools is an extreme count by any measure — far beyond the 50+ threshold — and much of the bulk is duplicative (the web_*/playwright_* pairs alone double ~15 slots) or out-of-scope for a device-control server (TestRail, Jira, AzDO, agent memory, secret variables, feedback). Even granting that remote device control + test automation is a broad domain, this surface will devastate agent context budgets and is impossible to navigate coherently.

Completeness4/5

The core device-control and test-automation domain is remarkably thorough: Android and iOS each have full interaction, app-lifecycle, file, network/proxy, performance, crash, accessibility, recording, and replay coverage, with CRUD lifecycles for flows, suites, app uploads, TestRail cases, and visual-review baselines. Minor gaps exist at the margins — Jira/AzDO lack update/transition/comment operations, and iOS cannot open/close tabs — but the central workflows have no dead ends.

Resources