get_resource_utilization
Retrieve current utilization rates for agents and resources to monitor operational efficiency and identify idle capacity.
Instructions
リソース(エージェント)の稼働率を取得する。
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retrieve current utilization rates for agents and resources to monitor operational efficiency and identify idle capacity.
リソース(エージェント)の稼働率を取得する。
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It only states 'get' (acquire), implying a read operation, but does not explain whether it is read-only, what data it returns, or any special behavior such as rate limits or data freshness. This is minimal transparency.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single concise sentence that immediately states the core purpose. There is no redundant or filler content, making it highly efficient.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool has no output schema, so the description should clarify what the utilization rate means, the time range, or the output format. It only provides the basic 'get utilization rate' statement, which is insufficient for a fully context-aware agent, especially given sibling tools with overlapping data.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters, so the description's lack of parameter detail is not a deficiency. Per the rubric, a baseline of 4 is appropriate when no parameters exist.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's action ('取得する') and resource ('リソース(エージェント)の稼働率'), which is specific and distinct from sibling tools like get_work_time_summary or get_member_kpis. It directly conveys what the tool does.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It does not mention any exclusions, prerequisites, or typical scenarios, leaving the agent to infer usage from the tool name and description alone.
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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