Skip to main content
Glama

Robot Actions — Remote Device Control

ios_crash_detail

Full parsed metadata + raw content of one crash report (by id from ios_crash_analytics). No automation session required.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesCrash report id (file name) from ios_crash_analytics
udidYesiOS device UDID

TDQS

A3.5/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. The description reveals this is a read-only fetch (it returns parsed metadata + raw content), which is helpful, but it doesn't disclose what 'raw content' entails, whether the report is returned as a string or structured object, size/truncation behavior, or failure states (e.g., what happens if the id is invalid). The one behavioral note ('No automation session required') is useful but thin coverage for an unannotated tool.

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?

Single well-formed sentence that packs the core purpose, the id sourcing caveat, and the session requirement note. Zero wasted words. Front-loaded with the primary function.

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

Completeness3/5

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

For a simple 2-parameter, no-output-schema fetch tool, the description covers the essential workflow. However, with no annotations and no output schema, the description is the only disclosure mechanism, and it leaves the return format, failure behavior, and whether udid is needed when no session is active somewhat under-specified. Adequate for a straightforward read tool but could add return-format hints given the lack of an output schema.

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 both parameters ('udid' and 'id') documented, so the schema does the heavy lifting. The description references how to obtain the id ('from ios_crash_analytics'), which adds meaningful context for the 'id' parameter beyond the schema's plain 'Crash report id (file name)' phrasing. No additional detail is added for 'udid', so it's an adequate but not exceptional contribution given full schema coverage.

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?

The description states the tool returns 'Full parsed metadata + raw content of one crash report' with a clear verb+resource structure and qualifies that it's 'by id from ios_crash_analytics'. It distinguishes itself from ios_crash_analytics (which lists multiple) and ios_crash_list. However, it doesn't explicitly contrast with sibling ios_crash_detail's platform counterpart beyond being iOS-specific.

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?

The description provides clear context: retrieves a single crash report 'by id from ios_crash_analytics', which tells the agent the source of the id. It also notes 'No automation session required,' clarifying an important precondition. However, it doesn't explicitly state when NOT to use it or mention alternatives (e.g., ios_crash_symbolicate for symbolicating), though the workflow implication is reasonably clear.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

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