android_traffic_status
Report whether TLS inspection is running for an Android device, its proxy mode (dpc/manual), and how many flows are buffered.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| serial | Yes | Android device serial (adb serial) |
Report whether TLS inspection is running for an Android device, its proxy mode (dpc/manual), and how many flows are buffered.
| Name | Required | Description | Default |
|---|---|---|---|
| serial | Yes | Android device serial (adb serial) |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It discloses the contents of the report and implies a read-only operation ('report'), but it does not explicitly state that it has no side effects, or mention prerequisites (e.g., device connection, existing traffic session), or describe error/edge-case behavior. It provides some context but not deep behavioral transparency.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence that immediately states the tool's purpose and enumerates the three report components. There is no wasted wording, repetition, or tangential information; every phrase earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool is simple, but without an output schema the description must convey return information. It lists the three components (TLS inspection running, proxy mode, buffered flow count) but does not specify their format (e.g., booleans vs strings) or any prerequisites/relationship to traffic start/stop. It is minimally adequate but leaves gaps in expecting an agent to understand the full response structure.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema covers the only parameter, 'serial', with a clear description ('Android device serial (adb serial)') at 100% coverage. The description does not add any extra meaning about the parameter, so it does not exceed the schema baseline. A score of 3 is appropriate given the high schema coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses the specific verb 'report' and identifies the resource (TLS inspection status for an Android device) with three distinct output elements: running status, proxy mode (dpc/manual), and buffered flow count. This makes it clearly distinguishable from sibling tools like android_traffic_start/stop (which control traffic) and android_traffic_flows (which likely list flows).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description clearly conveys that this is a status/read tool and implies it complements the traffic start/stop tools, but it does not explicitly name alternatives or state when not to use it. The context is clear enough for an agent to infer its role among the siblings, but explicit exclusions are missing.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
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.
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).
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.
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.