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DRITI2906

MCP System Info Server

by DRITI2906

get_sysinfo

Retrieve detailed system information including OS, CPU, memory, disk, and GPU specifications for monitoring hardware performance and system status.

Instructions

Get comprehensive system information.

Returns detailed information about the system including:
- System: OS name, version, machine type
- CPU: Processor name, cores, frequency, usage
- Memory: Total, available, used memory and utilization
- Disk: Total, used, free disk space and utilization
- GPU: NVIDIA GPU details if available (name, memory, utilization, temperature)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations are provided, so the description carries the full burden. It discloses the return format in detail (system, CPU, memory, disk, GPU information), which is valuable behavioral context. However, it doesn't mention potential limitations like performance impact, permissions needed, or error conditions.

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 well-structured and front-loaded with the main purpose, followed by a bulleted list of return details. It's appropriately sized with no redundant information, though it could be slightly more concise by integrating the bullet points into a single sentence.

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

Completeness4/5

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

Given the tool's complexity (system monitoring), no annotations, and an output schema present, the description provides good completeness by detailing the return values. It covers key aspects like OS, CPU, memory, disk, and GPU, but could improve by mentioning data freshness or update frequency.

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

Parameters4/5

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

The input schema has 0 parameters with 100% coverage, so the baseline is 4. The description appropriately doesn't discuss parameters, focusing instead on the output, which aligns with the tool's no-parameter design.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose with the verb 'Get' and resource 'comprehensive system information', making it immediately understandable. However, it doesn't distinguish from sibling tools since there are none, so it cannot achieve a perfect score of 5 for sibling differentiation.

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?

The description provides no guidance on when to use this tool versus alternatives, prerequisites, or specific contexts. It simply states what the tool does without any usage instructions or exclusions.

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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