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Device Ports

device_ports
Read-onlyIdempotent

Retrieve network ports for a specified device from LibreNMS, with options to limit, offset, and select specific columns. Use to inspect interface status and details.

Instructions

List ports for a device from LibreNMS.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of results to return
offsetNoNumber of results to skip (offset) for pagination
columnsNoComma-separated list of columns to return (e.g., 'port_id,ifName,ifAlias,ifOperStatus')
hostnameYesDevice hostname or ID

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changedv1.10.3
    • addedInput schema / properties / limit
      Added value: +{
      +  "default": 100,
      +  "description": "Maximum number of results to return",
      +  "minimum": 1,
      +  "type": "integer"
      +}
    • addedInput schema / properties / offset
      Added value: +{
      +  "default": 0,
      +  "description": "Number of results to skip (offset) for pagination",
      +  "minimum": 0,
      +  "type": "integer"
      +}
  2. First observedv1.9.0

TDQS

B3.3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds no extra behavioral context such as pagination behavior, default limits, or how columns filtering affects results, but it also does not contradict the annotations.

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 compact sentence that leads with the verb and resource. There is no filler or redundant content, making it appropriately sized and front-loaded.

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 schema, annotations, and output schema cover most invocation needs, so a sparse description can be acceptable. However, the existence of a nearly identically named sibling (device_ports_get) and no clarification of scope leaves a material selection gap for the agent.

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%, with all four parameters documented (hostname, limit, offset, columns). The phrase 'for a device' restates the hostname parameter and adds no additional semantic detail beyond what the schema already provides.

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 states a clear action ('List') on a specific resource ('ports') scoped to a device from LibreNMS. It is unambiguous in what the tool does, but it does not differentiate from the similarly named sibling device_ports_get or related tools like ports_list.

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?

No guidance is given on when to use this tool versus alternatives. The description does not mention device_ports_get, ports_list, or ports_search, nor any conditions that would select one over the other.

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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