get_cpu_info
Returns current CPU usage, core count, and model name on Ubuntu. Use for system monitoring and diagnostics.
Instructions
CPU使用率・コア数・モデル情報を返します。
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Returns current CPU usage, core count, and model name on Ubuntu. Use for system monitoring and diagnostics.
CPU使用率・コア数・モデル情報を返します。
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so the description carries the full burden. It explicitly states the tool returns information, implying a read-only operation. This is sufficient for a simple tool with no parameters.
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?
Single sentence, no unnecessary words, well-structured and front-loaded with the key purpose.
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?
No output schema, so description compensates by listing return values. However, lacks details on units or format (e.g., usage percentage). Adequate for the tool's simplicity.
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?
No parameters, baseline 4. The description adds meaning beyond the empty schema by specifying what information (CPU usage, cores, model) is returned.
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 returns CPU usage, core count, and model information. This distinguishes it from sibling tools like get_disk_info or get_memory_info.
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?
No explicit guidance on when to use this tool versus alternatives, but the name and sibling tools imply it is for CPU information. No when-not-to or prerequisites mentioned.
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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