get_cpu_load
Retrieve current CPU load and average usage data to monitor system performance and resource utilization.
Instructions
Get current CPU load and average information
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retrieve current CPU load and average usage data to monitor system performance and resource utilization.
Get current CPU load and average information
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool retrieves CPU load data, implying a read-only operation, but doesn't specify details like whether it returns real-time or historical data, the format of the output, or any rate limits. This leaves significant gaps in understanding the tool's behavior.
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, efficient sentence that directly states the tool's purpose without any unnecessary words. It's front-loaded with the core action and resource, making it easy to parse quickly.
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?
Given the lack of annotations and output schema, the description is incomplete for a tool that retrieves system data. It doesn't explain what 'current CPU load and average information' entails (e.g., percentages, timeframes, or data structure), leaving the agent uncertain about the return values. This is inadequate for a tool with potential complexity in its output.
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 0 parameters, and the schema description coverage is 100%, so there are no parameters to document. The description doesn't need to add parameter semantics, and it appropriately doesn't mention any. A baseline score of 4 is assigned for tools with no parameters, as there's nothing to compensate for.
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 action ('Get') and the resource ('current CPU load and average information'), making the purpose immediately understandable. However, it doesn't differentiate this tool from sibling tools like 'get_system_info' or 'get_disk_usage' that might also provide system metrics, so it doesn't reach the highest score.
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. With siblings like 'get_system_info' that might include CPU data, there's no indication of when this specific tool is preferred, leaving the agent to guess based on tool names 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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