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Robot Actions — Remote Device Control

device_drag_drop

Drag-and-drop on an Android device: hold at (x1,y1) for holdMs to grab, then move to (x2,y2) over durationMs. Distinct from device_swipe (no hold — scroll-style) and device_long_press (no motion — context menus). Use for app-icon reorder, drag-into-folder, slide gestures that need a deliberate grab. Coordinates are PHYSICAL pixels (from page_source bounds).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
x1YesStart X in physical pixels
x2YesEnd X in physical pixels
y1YesStart Y in physical pixels
y2YesEnd Y in physical pixels
udidYesDevice serial number (UDID)
holdMsNoHold-in-place duration before motion in ms (default: 500)
durationMsNoMotion duration from start to end in ms (default: 400)

TDQS

A4.6/5.0
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. It discloses the multi-phase gesture mechanics (hold, then motion), default timings, the coordinate space (physical pixels from page_source bounds), and the deliberate-grab requirement. It does not explicitly state that a drag is a mutating/screen-changing operation or mention any permission/auth needs, but the gesture mechanics disclosure is substantive and useful.

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?

Three tight sentences deliver purpose, differentiation, use cases, and coordinate semantics with zero filler. Every sentence earns its place, and the most critical selection-differentiation detail (how it differs from swipe/long_press) is front-loaded.

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?

The tool has 7 params (5 required) with 100% schema coverage and no output schema (returns void presumably). The description covers the gesture mechanics, defaults, coordinate space, alternatives, and use cases. The only gaps are edge-case behavior (e.g., zero durations, out-of-bounds coords) and whether the drag can cross screen boundaries, but for a gesture tool with full schema coverage this is largely complete.

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%, so baseline is 3. The description adds value by explaining the semantic roles of the coordinate parameters within the gesture flow: (x1,y1) is the hold point for the deliberate grab, and (x2,y2) is where the drag ends. It also explains the role of holdMs (grab) and durationMs (motion). However, it does not detail edge cases like what happens if holdMs is 0 or coordinate bounds.

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+resource ('Drag-and-drop on an Android device') and clearly details the mechanism (hold at (x1,y1), move to (x2,y2) over duration). It explicitly distinguishes itself from sibling tools device_swipe (no hold) and device_long_press (no motion), providing concrete if/then decision criteria.

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

Usage Guidelines5/5

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

The description explicitly names alternative tools and when NOT to use them ('Distinct from device_swipe... and device_long_press...'). It gives concrete use cases ('app-icon reorder, drag-into-folder, slide gestures that need a deliberate grab') that map to when this tool is appropriate, which is strong guidance for selection.

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.

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