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Robot Actions — Remote Device Control

webpage_get_attribute

Get one attribute (e.g. href, value, aria-label, data-*) of an element in the device browser page, by CSS selector or by a ref from a page-elements listing (iOS Safari or Android Chrome, auto-detected). value is null when the element exists but the attribute is absent. Throws only when the target itself does not resolve.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
refNoElement ref from a page-elements listing, e.g. "e12". Provide this or `selector`. A ref points straight at the element it was issued for, so it survives markup that shifted position, and it can address elements no CSS selector can reach from the top of the page.
nameYesAttribute name to read, e.g. "href", "value", "aria-label"
udidYesDevice UDID / serial (iOS or Android)
pageIdNoTarget page/tab id — auto-picked when omitted
socketNoAndroid only: abstract unix socket name (default: chrome_devtools_remote)
selectorNoCSS selector for the target element. Provide this or `ref`.
platformVersionNoIgnored (kept for compatibility)

TDQS

A4/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden and does well: it discloses that 'value' is null when the attribute is absent, and that it throws only when the target does not resolve. It also notes platform auto-detection. It does not mention behavior on multiple matches or invalid selectors, but the important edge cases are covered for a read-only getter.

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 three sentences with no fluff. It opens with the core purpose, adds more detail on targeting, and covers edge cases. Every sentence carries meaningful information, and the structure is well-organized.

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?

For a tool with no output schema, the description effectively conveys what is returned (an attribute value, with 'value' being null when absent) and how errors behave. It is reasonably complete for an agent to select and call the tool, though it could explicitly state the output structure or mention multiple matches. Overall, it provides enough context for a read-only attribute getter.

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 a baseline of 3 is appropriate. The description adds minimal extra parameter meaning beyond the schema, though it does explain the selector/ref distinction and auto-detection, which slightly reinforces but does not fundamentally extend the schema's rich per-parameter descriptions.

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 verb 'Get one attribute' and the resource (element in the device browser page), with specific attribute examples and selection methods (CSS selector or ref). It implicitly distinguishes from siblings like webpage_get_text by focusing on attributes, which is a specific and distinct purpose.

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 when to use this tool (when you need a single attribute) and explains how to target an element (via selector or ref), but it does not explicitly compare with alternatives such as webpage_get_text or webpage_get_dom, nor does it state exclusions or conditional usage. This is functional but not explicit.

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