Skip to main content
Glama

kernel_log

Read the kernel log to retrieve recent system messages from an OpenWrt router, helping diagnose hardware and driver issues.

Instructions

Read the kernel log (dmesg).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
linesNoNumber of recent kernel log lines
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It states 'Read' which implies a safe read operation, but it does not describe return format, potential side effects, privilege requirements, or how the lines parameter affects behavior.

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?

The description is a single, front-loaded sentence that directly states the verb and resource. There is no redundancy or fluff, making it appropriately concise for a tool of this simplicity.

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?

The tool is simple, but the description lacks context such as when to prefer it over system_log, output expectations, or any caveats. For a read operation with one optional parameter, it is minimally viable but leaves the agent without guidance on return values or edge cases. Given no output schema or annotations, the description should do more.

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

Parameters3/5

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

Schema description coverage is 100%, so the baseline is 3. The description does not add parameter-specific meaning beyond the schema; the schema already documents the 'lines' parameter as 'Number of recent kernel log lines'.

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 uses a specific verb 'Read' and a specific resource 'kernel log (dmesg)', clearly distinguishing it from sibling tools like system_log or serial_log. Mentioning dmesg anchors the meaning unambiguously.

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 like system_log. There is no mention of conditions, exclusions, or when the kernel log is the appropriate source.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/haode01/openwrt-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server