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Glama

Robot Actions — Remote Device Control

session_network_logs

Read the NETWORK requests for a browser session (DevTools Network tab — method, URL, status, type, timing, size). Captured automatically; returns the most recent requests. Use to find failing (4xx/5xx) or slow requests. Response/request BODIES are not available. (Browser sessions only.)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeNoFilter by resource type, e.g. "xhr", "fetch", "document", "script", "stylesheet", "image".
limitNoMax requests to return (most recent). Default 50, max 500.
sessionIdYesBrowser session ID (same id used by the other session_* tools)
failuresOnlyNoWhen true, only show requests that failed or returned status >= 400.

TDQS

A4.3/5.0
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 that requests are captured automatically (no explicit start), returns most recent, and bodies are unavailable. For mutation-free read behavior, this is reasonably transparent. It doesn't mention pagination or whether older requests are retained/dropped, but for a captured-networking-log tool this is adequate.

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?

Four sentences, each earning its place: purpose, capture mechanism, use-case, and caveat. The front-loaded first sentence provides the core purpose. Slightly verbose with parentheticals (DevTools Network tab — ...) but generally tight and clear.

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 network-log reader with 100% schema coverage and no output schema, the description is complete enough. It explains what data is returned (method, URL, status, type, timing, size), the limitation (no bodies), and a usage hint (find failures/slow requests). The (Browser sessions only.) note cleanly restricts applicability. Adequate without being exhaustive.

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%, with fields like 'type' (with default value 50, max 500) and 'failuresOnly' (with >=400 semantics) well-documented in the schema. The description adds minimal extra detail beyond the schema — it mentions status/type concepts but doesn't materially enrich parameter meaning. Baseline 3 applies since the schema already does the heavy lifting.

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?

Specific verb (Read) + resource (NETWORK requests for a browser session), clearly states scope (method, URL, status, type, timing, size) and behavior (captured automatically, returns most recent). The mention of DevTools Network tab disambiguates it from android_devtools_capture_network and ios_safari_capture_network in the sibling list. Clearly a read operation, aligns with the read/hint nature.

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?

Explicitly states when to use: 'Use to find failing (4xx/5xx) or slow requests.' Also documents what's NOT available ('Response/request BODIES are not available') and likely alternatives via the (Browser sessions only.) note. Introduces a discoverability constraint for filtering failures, which is direct usage guidance.

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.

Resources