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Glama

get_system_info

Retrieve basic host details such as OS, kernel release, architecture, hostname, Python version, and boot time to identify the current Ubuntu environment.

Instructions

Get basic host information: OS, kernel release, architecture, hostname, Python version, and boot time.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.5/5.0
Behavior3/5

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

No annotations are supplied, so the description carries the behavioral burden, and it does implicitly convey that this is a passive, no-side-effect information read by listing only returned host facts. It never states read-only/no-auth requirements explicitly, nor does it say the result is a one-shot snapshot, so the disclosure is adequate but thin.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with a colon-delimited field list and zero filler; every word earns its place and the reader knows exactly what comes back.

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?

With no output schema, the enumeration of returned fields is what makes this complete, and it covers the key facts an agent would want. It stops slightly short of saying whether the call can fail or what happens on unsupported platforms, but for a trivial zero-arg read that is a minor gap.

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 tool takes zero parameters, so no parameter semantics are needed. The description correctly avoids inventing arguments and instead documents the output fields, which is the useful analog here.

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?

States a specific verb ('Get') and resource ('basic host information') and then enumerates the exact fields returned: OS, kernel release, architecture, hostname, Python version, boot time. That field list implicitly separates it from siblings like get_cpu_info, get_memory_info, and get_disk_info, though no sibling is named explicitly.

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?

There is no when-to-use or when-not-to-use guidance, and no mention of alternatives such as get_cpu_info or get_memory_info. The purpose is self-evident from the name, but the description provides no routing signal.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.