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get_runner_info

Determines the active QA runner and available runners to ensure correct test framework selection and confirm environment variables are properly set.

Instructions

回傳目前由 QA_RUNNER 環境變數選定的測試 runner(pytest / jest / cypress / go / maestro 五選一)加上 server 編譯時內建的全部 runner 清單。建議每個 session 第一個呼叫——AI 用它判斷後續該產 Playwright .py 還是 Maestro .yaml、要不要 headed browser,避免後面拿錯模板。也用來確認專案環境設定正確:QA_PROJECT_ROOT 指對地方、QA_RUNNER 沒拼錯。回傳 shape:{active: 'pytest', available: ['pytest', 'jest', ...]}。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

No annotations provided, but description fully covers behavior: reads env vars, returns info with no side effects. Implies read-only nature.

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?

Well-structured with purpose first, then usage, then shape. Slightly wordy but all sentences add value.

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?

Complete for a zero-param tool: covers purpose, usage, environment checks, return shape. No output schema but return shape is described.

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?

No parameters, so baseline 4. Description adds no param info because none exist.

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 tool returns the active runner and available list, distinguishing it from sibling tools by recommending it as the first session call to decide testing framework.

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?

Explicitly recommends first call of session and explains how to use the info (choose framework, headed browser, verify environment). Lacks explicit when-not but context is clear.

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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