Skip to main content
Glama

List Front_ports

netbox_list_front_ports
Read-onlyIdempotent

Retrieve patch-panel front ports from NetBox with support for pagination and filtering by device, name, type, and more.

Instructions

List patch-panel front ports from NetBox.

Supports pagination and filtering. Common patterns:

  • Discovery: call with no filters to browse the first front_ports.

  • Lookup by id: use netbox_get_front_port instead when you already have an id.

  • Narrow scan: combine 'q' (fuzzy text) with resource-specific filters below.

Pagination:

  • 'limit' (max 1000, default 50) and 'offset'. Response includes 'has_more' and 'next_offset'.

  • Large list responses auto-truncate to keep under the character limit; keep calling with next_offset to continue.

Resource-specific filters:

  • device_id:

  • device:

  • name:

  • name__ic:

  • type:

Universal filters:

  • q (string) Fuzzy text search across searchable fields.

  • tag (string[]) AND-filter by tag slugs.

  • created_after (date) ISO-8601 lower bound on 'created'.

  • created_before (date) ISO-8601 upper bound on 'created'.

Returns: Markdown summary (default) or JSON with shape: { total, count, offset, limit, items: [...], has_more, next_offset? }

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qNoFuzzy full-text search across the object's searchable fields (name, description, etc.).
tagNoFilter to objects that have ALL of these tag slugs. Repeat for multiple tags (AND semantics in NetBox).
nameNo
typeNo
limitNoMaximum number of items to return per page (1-1000, default 50).
deviceNo
offsetNoNumber of items to skip for pagination. Use next_offset from a previous response.
name__icNo
device_idNo
created_afterNoISO-8601 date; only return objects created on or after this date (e.g. 2024-01-01).
created_beforeNoISO-8601 date; only return objects created on or before this date.
response_formatNoOutput format: 'markdown' (default, human-readable) or 'json' (full structured payload). Use 'json' when chaining follow-up tool calls.markdown
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and non-destructive. The description adds valuable details about pagination behavior (auto-truncation, has_more, next_offset) and return formats, enhancing transparency beyond 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?

Well-structured with clear sections (purpose, patterns, pagination, filters, returns). Each sentence serves a purpose; no redundancy. Front-loaded with the core action.

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

Completeness5/5

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

Despite no output schema, the description details the return shape (JSON fields) and covers pagination, filters, and formatting options. It is comprehensive for a list tool with many parameters.

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 coverage is 58%; description groups filters into resource-specific and universal, and explains pagination parameters. However, it merely lists some parameters (device_id, device, name, etc.) without adding meaning, relying on the schema for those.

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 it lists patch-panel front ports from NetBox and outlines specific patterns (discovery, lookup by id with sibling reference, narrow scan), effectively distinguishing from siblings.

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

Usage Guidelines5/5

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

Explicitly tells when to use this tool vs alternatives (e.g., 'use netbox_get_front_port instead when you already have an id'), and provides context for pagination, filtering, and common patterns.

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/ZenixSolutions/netbox-mcp-server'

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