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Glama

Robot Actions — Remote Device Control

ios_syslog_capture

Capture the iOS device's live system log for a few seconds and return the lines. This is the device log (os_log/syslog) — where crashes on launch, permission denials and app startup failures appear. Not app console logs: for a web page use ios_safari_console_logs. Filter with process and/or contains — an idle device produces hundreds of lines per second, so an unfiltered capture is mostly noise. Run the action you want to debug WHILE the capture is running, or capture right after it. No automation session required.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
udidYesiOS device UDID
levelNoMinimum severity: "error" = Error+Fault only, "notice" excludes Debug/Info. Default all
processNoOnly lines from this process/image, e.g. "SpringBoard" (case-insensitive substring)
secondsNoHow long to collect for (default 5, max 60)
containsNoOnly lines containing this text (case-insensitive)

TDQS

A4.4/5.0
Behavior4/5

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

Discloses that the tool captures live logs for a few seconds and returns lines, and that unfiltered captures are mostly noise. It mentions no automation session is required. With no annotations, the description carries full burden; it covers the key behavioral traits but does not detail capture timing specifics or output truncation limits.

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?

Description is front-loaded with the core action and immediately clarifies system vs. app logs. It is relatively concise (3 sentences), but the third sentence could be more direct. No wasted words, but slightly more verbose than necessary.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the absence of annotations, schema, and output schema, the description is fully complete. It defines the tool's purpose, scope, differentiation from siblings, and usage patterns. The complexity is low, and the description leaves no major gaps for an agent to misinterpret.

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 parameters. The description adds value by explaining the filtering rationale (idle noise) and suggesting practical usage, but does not supplement parameter details beyond what the schema provides. Baseline 3 is appropriate.

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 tool captures a live system log (os_log/syslog) from an iOS device, specifying it returns lines. It explicitly distinguishes itself from sibling tools like ios_safari_console_logs (for web pages) and lists specific use cases: crashes, permission denials, and app startup failures.

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?

Provides explicit guidance on when to use (debugging device-level issues) and when not to (app console logs, which points to ios_safari_console_logs). Offers concrete filtering advice using `process` and `contains` to avoid noise from idle devices, and suggests running the target action during capture or immediately after.

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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