ios_window_size
Get the screen width of an iOS device from the iOS automation session. Use these dimensions for tap/swipe coordinates. Requires an active iOS automation session.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| udid | Yes | iOS device UDID |
Get the screen width of an iOS device from the iOS automation session. Use these dimensions for tap/swipe coordinates. Requires an active iOS automation session.
| Name | Required | Description | Default |
|---|---|---|---|
| udid | Yes | iOS device UDID |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the burden. It's a read-only query (implied by 'Get'), discloses the session requirement, and notes the intended downstream use. However, it doesn't disclose whether this returns logical vs physical pixels, whether it also returns height, rotation effects, or what happens if the session is inactive.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences, both carrying useful information: what it does and why you'd use it. No wasted words. Slightly more could be added about return format, but the current length is efficient and front-loaded.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple single-parameter read tool, the description covers the core purpose and usage context. It lacks mention of return value format (pixels vs points), handling of orientation changes, or relation to height retrieval, but the tool is simple enough that these gaps are moderate rather than severe.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% with a single 'udid' parameter documented as 'iOS device UDID'. The description adds the session-requirement context but doesn't elaborate on the udid beyond what the schema provides. Baseline 3 is appropriate since the schema fully documents the only parameter.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb ('Get') and resource ('screen width of an iOS device from the iOS automation session'), and adds the practical purpose ('Use these dimensions for tap/swipe coordinates'). It's distinguished from siblings by naming the specific session source. However, it doesn't explicitly contrast with ios_device_info or ios_orientation which could also provide device dimensions.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description clearly indicates this is for obtaining screen width for tap/swipe coordinate purposes, and notes it 'Requires an active iOS automation session'. It lacks explicit 'when NOT to use' guidance or named alternatives, but the coordinate-purpose context provides useful direction.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
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.
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).
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.
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.