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kitepon
by kitepon

grok_agent

Launch a persistent Grok agent in a terminal to execute delegated tasks as a sub-agent with shared project settings and MCP tools. Submit a prompt; monitor completion via process exit.

Instructions

【旧互換alias。新規連携は agent_launch(harness=grok-cli)】Grok BuildのGrokモデル(既定 grok-4.6)の対話エージェント TUIを永続端末に起動する。通常CLIと同じHOME・cwd・project/user/local設定・MCP・plugin・skill・permission/trustを共有する。aitermは完了相関stateだけをlaunch単位で所有する。起動されたagentにはsub-agent自己認識、親session、delegation depth/lineage、delegation_allowed=trueを注入し、必要な追加委譲は許可する。turn は pty_send で送る(自動で非ブロック dispatch になる)。起動して投げたら投げっぱなしでよい=親はここで待たない。完了通知は起動応答またはpty_send dispatch receiptの wait_processを、親のターンを塞がない別プロセスAPIへexecutable/argsの境界を保ったまま渡して受ける(PowerShell 7のStart-Processはwindows_start_process_argument_listを使う)(exit 0=done / 3=timeout(既定600秒・未完了) / 4=closed。receiptのoutcomeが正で、done以外は未完了。ポーリング不要・foreground実行はしない)。wait_commandは人間向け互換表示。結果回収は pty_read(agent_transcript:true)。model/reasoning_effortを引数で指定可。read-only sandboxとagent_configureに対応。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cwdNo作業ディレクトリ(対象リポのルート等・任意)
modelNo起動モデル。省略時は grok-4.6。explicit modelを起動前にlive catalogへ照合し、不在ならfallbackせずエラー
promptNo起動時に渡す初手プロンプト(任意)。送信後は待たずに即返る
env_varsNo起動したagentへ現在のMCP processから継承する環境変数名。値はtool引数へ渡さない
write_scopeNo能力宣言。read-only、または書込みを許可するパスの説明文字列。対応harnessのread-onlyはCLI標準のread-only面で実効禁止する
session_nameNoセッション名(省略で自動採番)
reasoning_effortNoGrok Build reasoning effort。利用可能値はCLI/modelのlive catalogに従う。省略時はCLI/model既定。
throughline_source_sessionNo同一端末のThroughline sessionから所有権を変えずに記憶を読み、promptのmissionより前へ注入する
throughline_supplement_fileNoThroughline 0.10.8以降へそのまま渡すproject束縛済み長期記憶・知識の補足JSON path

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
schemaYes
harnessYes
providerYes
session_idYes
write_scopeNo
event_cursorYes
wait_commandYes
wait_processYes
submit_residueYes
managed_completionYes後方互換field。trueはaiterm完了相関が有効という意味で、project/user環境の隔離を意味しない
write_scope_enforcementNo
Install Server

TDQS

A4.1/5.0
Behavior5/5

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

The description is exceptionally transparent about behavior: it shares HOME/cwd/env, owns only completion-state, injects delegation metadata, sends turns via pty_send as non-blocking, does not wait, defines exit codes (0/3/4), states no polling needed, and explains how to collect results via pty_read. This goes far beyond any annotations, which are absent.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is information-dense but long and sprawling, packed into one continuous paragraph with mixed Japanese and technical details. While every sentence carries meaningful behavioral info, the lack of clear segmentation or prioritization makes it harder for an agent to quickly extract the key points. Not concise enough nor well-structured for maximum clarity.

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?

With an output schema present and parameters fully documented in the schema, the description provides extensive behavioral context: lifecycle, delegation, completion signaling, exit codes, and result retrieval. It even addresses compatibility and alternatives. Nothing critical for a caller is missing, making this complete.

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%, so the input schema already fully documents all 9 parameters. The description mentions model/reasoning_effort can be specified and that env_vars are inherited, but this mostly restates schema info without adding deeper meaning, so a baseline 3 is appropriate.

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 explicitly states it launches Grok Build's Grok model conversational agent TUI into a persistent terminal, identifying the verb and resource. It also clearly differentiates itself as an old-compatibility alias for agent_launch, which helps distinguish it from siblings, though the alias framing adds a bit of ambiguity about its intended use.

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 explicitly says '旧互換alias。新規連携は agent_launch(harness=grok-cli)' meaning new integrations should use agent_launch instead, which provides clear when-not-to-use guidance. It also describes how to interact with the launched agent (via pty_send, no waiting, completion notifications), though it does not contrast with other sibling agent tools beyond agent_launch.

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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