ios_get_browser_url
Get the current URL loaded in Safari on an iOS device. Returns the URL string. Requires an active iOS automation session (auto-starts if needed).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| udid | Yes | iOS device UDID |
Get the current URL loaded in Safari on an iOS device. Returns the URL string. Requires an active iOS automation session (auto-starts if needed).
| 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 behavioral disclosure burden. It reveals that the tool may auto-start an iOS automation session, which is useful behavioral context. However, it doesn't describe return format beyond 'URL string,' error behavior (e.g., what happens if Safari is not open), or whether this is a read-only operation. For a read operation this is acceptable but not comprehensive.
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 informative and free of fluff. It states what it returns and the session requirement efficiently. Every word earns its place.
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 read-only getter with one parameter and no output schema, the description is mostly adequate. However, it lacks some context: it doesn't clarify what happens if Safari isn't open (returns empty? errors?), and it doesn't specify whether the URL is from an active Safari page or the frontmost tab. The session requirement is useful context. Given the simplicity of the tool, this is reasonable but with minor gaps.
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 description coverage is 100%, so the udid parameter is fully documented in the schema as 'iOS device UDID.' The description adds no additional parameter semantics beyond the schema, which is the baseline-3 scenario. The description doesn't add context like 'the UDID must match a launched iOS device or the session will fail.'
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 tool's purpose: getting the current URL loaded in Safari on an iOS device and returning the URL string. It specifies verb+resource+platform (get + browser URL + iOS/Safari). It distinguishes it from siblings like device_get_browser_url (generic/browser-agnostic) and ios_navigate_url (which sets instead of gets), though it doesn't explicitly name these alternatives.
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 provides context (requires iOS automation session, auto-starts if needed) which is useful. However, it doesn't give guidance on when to use this vs alternatives like device_get_browser_url or ios_safari_list_pages. There's no exclusions or when-not-to-use information, leaving the agent to infer differentiation from naming.
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.