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Robot Actions — Remote Device Control

flow_recording_replays

List all replay runs of a saved recording — the run history. Returns one row per replay with id, status, totals, started/completed timestamps, and computed durationMs. Useful for trend analysis (pass rate over time) and finding the most recent failure to drill into. Filtered to the authenticated user.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax replays to return (default 25, newest first)
recordingIdYesFlow recording ID (from flow_recording_list)

TDQS

A4.3/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It discloses the read-only nature implicitly ('List', 'Returns one row per replay') and the user-scoping constraint, and notes it returns durationMs (a computed value). However, it does not describe pagination behavior fully, ordering guarantees beyond 'newest first' being in the schema, or what happens when there are zero replays. The lack of a true statement about non-mutating behavior and no explicit side-effect disclosure is a moderate gap for a tool with no annotation support.

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?

The description is a tight 3-sentence block with no filler. It front-loads the core purpose, then delivers return-value details, then use cases. Every sentence earns its place without redundancy or verbosity.

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?

For a list-style tool with 2 well-documented parameters and no output schema, the description is complete. It specifies the return shape (one row with id, status, totals, timestamps, durationMs), the use cases, and the user-filtering behavior. There is little more an agent would need to know to invoke it correctly.

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 coverage is 100%, so both parameters (recordingId, limit) are already documented. The description adds context by linking recordingId to flow_recording_list output and mentions the default limit of 25 and newest-first ordering, which slightly enriches the schema's bare descriptions. But it adds minimal meaning beyond what the schema already provides, so the baseline of 3 holds.

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 verb ('List all replay runs of a saved recording'), specifies the resource (recording run history), and details what one row returns (id, status, totals, timestamps, durationMs). It also distinguishes itself from the sibling flow_replay_summary and flow_recording_replay by focusing on run history/trend analysis rather than triggering or summarizing a single replay.

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?

The description explicitly provides use cases ('Useful for trend analysis... and finding the most recent failure to drill into') and states the scope ('Filtered to the authenticated user'). This gives clear guidance on when to invoke this tool for historical/analytical purposes versus the sibling replay tools.

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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