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shiiman

multi-agent-mcp

by shiiman

report_task_completion

Report task completion from Worker to Admin to update dashboard, memory, and metrics with status and summary.

Instructions

Worker が Admin にタスク完了を報告する。

Worker はこのツールを使って Admin に作業結果を報告します。 Admin が受け取って dashboard を更新します。 自動的にメモリ保存とメトリクス更新も行います。

※ Worker のみ使用可能。

Args: task_id: 完了したタスクのID status: 結果ステータス("completed" | "failed") message: 完了報告メッセージ(作業内容の要約) summary: タスク結果のサマリー(メモリに保存、省略時はmessageを使用) caller_agent_id: 呼び出し元エージェントID(Worker のID)

Returns: 報告結果(success, message または error)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
statusYes
messageYes
summaryNo
task_idYes
caller_agent_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

No annotations provided; description discloses automatic memory saving and metrics update as side effects. It also mentions dashboard update. Lacks detail on error conditions or reversibility, but overall transparent about key behaviors.

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 adequately structured with a purpose statement and an Args list, but somewhat verbose. Could be more concise by trimming redundant phrasing while retaining necessary detail.

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 output schema exists and the tool has moderate complexity, the description covers main behavior, side effects, and usage constraint. Missing details on error handling or exact dashboard update mechanics, but sufficient for basic usage.

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?

With 0% schema description coverage, the description adds full semantic meaning for all 5 parameters: explains task_id, status (with enum values), message, summary (defaults to message), and caller_agent_id. This compensates completely for the schema gap.

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 is for Workers to report task completion to Admin, with a specific verb ('報告する') and resource ('タスク完了'). It distinguishes from siblings like 'report_task_progress' by focusing on final completion.

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 states 'Worker のみ使用可能' (only Worker can use), providing a clear usage constraint. Implicitly differentiates from progress reporting via sibling context, but does not explicitly list when not to use.

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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