get_cpu_info
Retrieve detailed CPU information from the Linux /proc filesystem for system monitoring and diagnostics.
Instructions
Get detailed CPU information
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retrieve detailed CPU information from the Linux /proc filesystem for system monitoring and diagnostics.
Get detailed CPU 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 must fully disclose behavioral traits. It states 'Get detailed CPU information' but offers no details about cost, permissions, or what 'detailed' entails, leaving significant uncertainty.
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 with no wasted words, achieving clarity without verbosity. Slightly more context about the returned information would improve it.
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?
For a tool with no parameters or output schema, the description adequately communicates the core function. However, it lacks details about the scope and format of the 'detailed CPU information', which if provided would enhance usability.
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?
There are no parameters, and schema description coverage is 100% trivially. The description does not add any parameter-related context, but its brevity is acceptable given the absence of inputs.
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 uses the verb 'Get' and identifies the resource 'CPU information', making the tool's purpose unambiguous and distinguishing it from siblings like get_memory_info or get_disk_stats.
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 explicit guidance on when to use this tool versus alternatives (e.g., read_procfs). Usage context is implied by its name, but explicit when/when-not instructions are absent.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/manalejandro/mcp-proc'
If you have feedback or need assistance with the MCP directory API, please join our Discord server