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Robot Actions — Remote Device Control

ios_performance_record_start

Start recording per-process CPU/memory over time (like screen recording, for metrics). Drive the app, then call ios_performance_record_stop with the returned sessionId to get the full time-series + summary. Focus one app with bundleId, else records the top processes by CPU.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
udidYesiOS device UDID
bundleIdNoFocus one app (bundle id / name); else top processes by CPU
intervalMsNoSample interval ms (default 1000)

TDQS

A3.6/5.0
Behavior3/5

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

No annotations are provided, so the description carries the burden. It discloses that it's a paired start/stop workflow requiring a subsequent stop call and that it records over time (implying resource duration). It doesn't disclose resource cost, whether multiple concurrent recordings are allowed, or impact on device performance. Adequate but not rich.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, both substantive. The first sentence front-loads purpose and the stop-pairing workflow. Efficient with no filler, though slightly dense with the 'screen recording' analogy packed in.

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 start-recording tool with no output schema and no annotations, the description provides the critical pairing detail (call stop with returned sessionId) and the bundleId behavioral difference. Reasonably complete for a simple parameter set, though it could note what the session tracks beyond CPU/memory and any sampling limits.

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 coverage is 100%, so the schema documents all 3 parameters. The description adds the bundleId semantics ('focus one app; else top processes by CPU') which enriches that parameter's meaning. It doesn't add detail on intervalMs beyond the schema's default of 1000. Baseline 3 with slight value-add.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

Clear verb+resource: start recording CPU/memory over time. The screen-recording analogy and 'top processes by CPU' fallback add useful scope. It doesn't explicitly distinguish from sibling ios_performance_snapshot or the similar android_performance_record_start, but the iOS prefix and recording-vs-snapshot distinction is reasonably clear.

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

Usage Guidelines4/5

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

Explicitly says to 'Drive the app, then call ios_performance_record_stop with the returned sessionId' and explains that focusing with bundleId records one app, else top processes. This gives clear usage context and workflow sequencing, though it doesn't state when NOT to use it vs the snapshot tool.

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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