Skip to main content
Glama

List Front_port_templates

netbox_list_front_port_templates
Read-onlyIdempotent

List front port templates with pagination and support for filtering by device type, name, tag, and creation date.

Instructions

List front port templates from NetBox.

Supports pagination and filtering. Common patterns:

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

  • Lookup by id: use netbox_get_front_port_template 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_type_id:

  • name:

  • name__ic:

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
limitNoMaximum number of items to return per page (1-1000, default 50).
offsetNoNumber of items to skip for pagination. Use next_offset from a previous response.
name__icNo
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.
device_type_idNo
response_formatNoOutput format: 'markdown' (default, human-readable) or 'json' (full structured payload). Use 'json' when chaining follow-up tool calls.markdown
Behavior5/5

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

Adds significant value beyond annotations: details pagination (limit/offset, auto-truncation, 'has_more' field), response format options, and handling of large lists. No contradictions with readOnlyHint or other annotations.

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?

Well-organized with sections (common patterns, pagination, filters, returns). Most sentences are informative, though a few lines (e.g., resource-specific filters list) could be slightly more compact. Overall efficient.

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?

Given no output schema, description fully explains return format (markdown/json with JSON shape). Covers all 10 parameters, pagination behavior, and common patterns. Complete for a list tool with rich annotations.

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 coverage is 70%, so baseline is 3. Description adds structure by grouping filters (resource-specific vs universal) and explaining common patterns. However, some parameters like `name`, `name__ic`, `device_type_id` lack extra details beyond listing.

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 'List front port templates from NetBox' and provides common patterns like discovery and narrow scan. It distinguishes itself from the sibling tool `netbox_get_front_port_template` by advising to use that when already having an ID.

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 describes when to use (discovery, narrow scan) and when not (lookup by id, advising alt tool). Also covers pagination and filtering contexts, giving clear usage guidance.

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