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Robot Actions — Remote Device Control

web_network_requests

Network requests made by the DESKTOP grid browser page (by pageId) since it opened, with status codes. Buffered from load. Use filter to narrow to an API path. NOT a device — for a real phone or tablet use android_devtools_capture_network or ios_safari_capture_network (by udid).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
filterNoCase-insensitive substring match on the URL
pageIdYesPage ID from web_navigate
failedOnlyNoOnly show responses with status >= 400

TDQS

A4.4/5.0
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 it discloses meaningful behavioral context: data is 'Buffered from load' (so requests before load are not available), results include status codes, and the scope is tied to a specific pageId in the desktop grid browser. It does not disclose whether this is a snapshot or live stream, buffering limits, or behavior on navigation, but the core temporal semantics are explicit.

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?

Four short sentences, each earning its place: core purpose with scope, the buffering behavior, a parameter usage tip, and the device distinction with named alternatives. The key fact (DESKTOP grid browser page, by pageId, since opened) is front-loaded and there is zero fluff or redundant schema repetition.

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 no output schema and no annotations, so the description must carry more weight, and it covers the essentials: what is returned (network requests with status codes), the scoping (pageId, desktop grid, since load), and filtering guidance. The return structure per request (URL shape, headers, timing fields) is unspecified, and there is no note on limits or clearing behavior, but for an observationally scoped capture tool the missing details are moderate rather than critical.

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 schema already fully documents all three parameters, establishing the baseline of 3. The description adds only a minor usage hint — that filter can narrow to an API path — which builds on the schema's 'substring match on URL' rather than significantly extending it. No additional meaning for pageId or failedOnly is provided beyond the schema.

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 states a specific verb and resource: it lists network requests for the DESKTOP grid browser page, scoped by pageId, since the page opened, with status codes. It further distinguishes itself by explicitly declaring 'NOT a device,' separating it from the android_devtools_* and ios_safari_* capture tools. The scoping ('since it opened', 'by pageId', 'DESKTOP grid browser page') leaves no ambiguity about what this tool does.

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 gives an explicit when-to-use signal ('Network requests made by the DESKTOP grid browser page'), an explicit when-not-to-use signal ('NOT a device'), and names the exact alternatives ('use android_devtools_capture_network or ios_safari_capture_network (by udid)'). It also advises using the filter parameter to narrow to an API path. This covers all three elements of the criterion.

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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