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narmaku

Linux MCP Server

by narmaku

get_service_logs

Retrieve recent systemd service logs for troubleshooting on local or remote Linux systems. Specify service name and number of lines to analyze service behavior and diagnose issues.

Instructions

Get recent logs for a specific systemd service.

Args:
    service_name: Name of the service
    lines: Number of log lines to retrieve (default: 50)
    host: Remote host to connect to via SSH (optional, executes locally if not provided)
    username: SSH username for remote host (required if host is provided)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
service_nameYes
linesNo
hostNo
usernameNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It mentions remote execution via SSH and local fallback, which is useful context, but doesn't cover critical aspects like authentication requirements beyond username, error handling, rate limits, or what the output contains. For a tool with potential remote execution and system access, this leaves significant behavioral gaps.

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 appropriately sized with a clear purpose statement followed by parameter explanations. Every sentence adds value, though the parameter section could be slightly more structured. It's front-loaded with the core functionality and avoids unnecessary verbiage.

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

Completeness3/5

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

Given the tool's moderate complexity (remote execution capability, system access) with no annotations but an output schema, the description is partially complete. It covers parameters well and states the core purpose, but lacks behavioral context about security implications, error conditions, or output format. The output schema existence reduces the need to describe return values, but other gaps remain.

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?

Schema description coverage is 0%, so the description must compensate. It successfully adds meaning for all 4 parameters: clarifies service_name purpose, provides default value and unit for lines, explains host's optional nature and remote/local behavior, and specifies username's conditional requirement. This goes well beyond the bare schema, though some details like SSH key vs password authentication aren't covered.

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

Purpose5/5

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

The description clearly states the specific action ('Get recent logs') and resource ('for a specific systemd service'), distinguishing it from siblings like get_journal_logs, get_audit_logs, or read_log_file by specifying the systemd service focus. It uses a precise verb+resource combination that leaves no ambiguity about its function.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage through parameter explanations (e.g., 'executes locally if not provided' for host), but doesn't explicitly state when to use this tool versus alternatives like get_journal_logs or read_log_file. It provides operational context but lacks direct comparative guidance for sibling tool selection.

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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