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Glama

Robot Actions — Remote Device Control

ios_pcap_start

Start a device-wide NATIVE network packet capture on an iOS device. Captures REAL packets at the network layer, mostly TLS-encrypted, so there are NO HTTP bodies — the result is a Wireshark .pcapng for packet-level analysis. One capture per device. Optionally filter by process (process name, e.g. mobilesafari / backboardd) or interfaceName (e.g. en0), and auto-stop after packets frames. End with ios_pcap_stop. (For Safari HTTP traffic with bodies, use ios_safari_capture_network instead.)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
udidYesiOS device UDID
packetsNoStop automatically after N packets (optional; default: until ios_pcap_stop)
processNoOnly capture packets for this process name (optional)
interfaceNameNoOnly capture this interface, e.g. en0 (optional)

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 transparency burden. It discloses key behavioral traits: captures real network-layer packets, TLS-encrypted (no HTTP bodies), one capture per device, and produces a .pcapng file. It does not mention permission needs or behavior if a capture is already running, but the core constraints and limitations are well covered.

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 well-structured sentences with critical information front-loaded. Every sentence provides actionable information: what it does, limitations, options, lifecycle, and alternatives. No filler or redundancy.

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 description is comprehensive for a packet-capture tool with no output schema and no annotations. It covers purpose, limitations, filters, auto-stop, and the stop command. A minor gap is not explaining what the command returns (e.g., capture file path), but this is likely handled by ios_pcap_stop and does not prevent correct usage.

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 beyond the schema by providing concrete examples for `process` (mobilesafari / backboardd) and `interfaceName` (en0), and clarifying that filters are optional. This enriches the parameter meaning without being redundant.

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 a specific action 'Start a device-wide NATIVE network packet capture' and defines the resource (iOS device) and output (.pcapng). It explicitly distinguishes itself from ios_safari_capture_network by noting the absence of HTTP bodies and the network-layer/TLS-encrypted focus.

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 lifecycle guidance ('End with ios_pcap_stop') and a clear alternative ('For Safari HTTP traffic with bodies, use ios_safari_capture_network instead'). It also mentions optional filters and auto-stop, giving practical context for when to use and when to choose the sibling 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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