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tsunamayo7

claude-code-codex-agents

by tsunamayo7

parallel_execute

Run several tasks in parallel subprocesses, returning all outcomes and individual execution traces in a combined structured report.

Instructions

複数タスクをサブプロセスで並列実行し、全結果をまとめて返す。

各タスクの実行過程が個別にトレースされ、構造化レポートで返る。

Args: tasks: タスクリスト(改行区切り。各行が1つのタスク) model: 使用モデル sandbox: サンドボックスモード cwd: 作業ディレクトリ timeout: 全体タイムアウト秒数

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cwdNo
modelNogpt-5.4
tasksYes
sandboxNoread-only
timeoutNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations are provided, so the description carries the burden of disclosure. It adds some behavioral context by stating each task is individually traced and results are returned in a structured report. However, it does not disclose sandbox behavior, failure handling, resource implications, or security aspects, which are important for a tool that executes tasks in subprocesses.

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 brief and front-loaded with the core purpose, followed by a cleanly formatted Args section. Every sentence provides useful information without redundancy or filler. It is well-structured and easy to parse.

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?

Given the tool's complexity (parallel subprocess execution, five parameters, no annotations), the description covers the essential aspects: purpose, parameter meanings, and output format (structured report). An output schema exists, so return values need not be detailed. However, it could be more complete with a brief note on when to use it relative to sibling tools, which is absent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has zero coverage (only types and defaults), while the description provides meaningful explanations for every parameter: tasks (newline-separated list), model (model to use), sandbox (mode), cwd (working directory), and timeout (overall timeout seconds). This fully compensates for the lack of schema documentation.

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 executes multiple tasks in parallel via subprocesses and returns all results together. This provides a specific verb (execute), resource (multiple tasks), and distinguishing feature (parallel subprocess execution) that sets it apart from sibling tools like 'execute' or 'trace_execute'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage when parallel execution of multiple tasks is needed, but it does not explicitly state when to prefer this tool over alternatives such as 'execute' or 'trace_execute'. No exclusions or alternative guidance are provided, so while the context is clear, the tool lacks explicit usage direction.

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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