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Unraid MCP

Unraid MCP

by lemanjo
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Hybrid

Read an Unraid system log

unraid_read_system_log
Read-onlyIdempotent

Read a bounded section of an Unraid system log by providing its exact path, start line, and line count to diagnose issues with targeted log data.

Instructions

Read a bounded section of a system log. First obtain its API-provided path with unraid_list_system_logs.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "path": "<path>"
    },
    "name": "unraid_read_system_log"
  }
}

Input Schema

NameRequiredDescriptionDefault
pathYesExact path returned by unraid_list_system_logs
linesNo
startLineNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.1

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare this read-only, idempotent, and non-destructive, so the description does not need to restate safety. It adds useful behavioral context by emphasizing that the log section is bounded and that the path must come from the API's listing operation, not an arbitrary user-supplied path.

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 immediately states the core operation and then gives the critical prerequisite. There is no filler or redundant repetition of the title or annotations.

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?

For a simple read operation, the prerequisite and read-only intent are adequately conveyed, and the schema covers the required path. However, with no output schema and no explanation of what the returned log section looks like or how startLine and lines interact, an agent is left to infer part of the behavior.

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

Parameters2/5

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

Only the path parameter is described in the schema, and schema coverage is low at 33%. The description reinforces that path must be API-provided, but it does not explain the semantics of lines or startLine beyond the vague phrase 'bounded section,' leaving two parameters with only numeric constraints and no meaningful guidance.

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 operation ('Read a bounded section of a system log') and identifies the resource as a system log. It indicates the scope is bounded, which helps distinguish it from listing all system logs, though it does not explicitly contrast with sibling log-reading tools like unraid_get_docker_logs.

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

Usage Guidelines4/5

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

The description provides an explicit prerequisite: first obtain the API-provided path with unraid_list_system_logs. This gives clear context for how to prepare the required argument, though it does not state when to avoid this tool or name alternatives for reading other log types.

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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