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shiiman

multi-agent-mcp

by shiiman

get_dashboard

Retrieve the complete dashboard overview of AI agent sessions to monitor parallel task execution status.

Instructions

ダッシュボード全体を取得する。

Args: caller_agent_id: 呼び出し元エージェントID(必須)

Returns: ダッシュボード情報(success, dashboard)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
caller_agent_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations provided. The description does not disclose any behavioral traits such as side effects, authentication needs, rate limits, or whether the operation is read-only. It only states the action and return structure.

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?

The description is very short and front-loaded with the main purpose. The Args/Returns structure is clear. However, it omits important details, making it slightly too terse.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given a simple tool with one parameter and an output schema, the description covers the basic action and return fields. However, it lacks parameter explanation and usage context, which is needed for full understanding.

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

Parameters1/5

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

Schema coverage is 0%. The description claims 'caller_agent_id' is required, but the schema shows it has a default of null and is not in a required list. This contradiction is misleading. The description adds no semantic value beyond restating the parameter name.

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 'Get the entire dashboard' (ダッシュボード全体を取得する), which is a specific verb and resource. It distinguishes from the sibling 'get_dashboard_summary' tool. Purpose is unmistakable.

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

Usage Guidelines2/5

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

No guidance on when to use this tool versus alternatives. The sibling 'get_dashboard_summary' exists but is not mentioned. No context on prerequisites or use cases.

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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