Skip to main content
Glama

List Vrfs

netbox_list_vrfs
Read-onlyIdempotent

List VRFs from NetBox with pagination and filtering by name, route distinguisher, tenant, or full-text search.

Instructions

List VRFs (routing tables) from NetBox.

Supports pagination and filtering. Common patterns:

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

  • Lookup by id: use netbox_get_vrf 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:

  • name:

  • rd: Route distinguisher.

  • enforce_unique:

  • tenant_id:

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.).
rdNoRoute distinguisher.
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.
tenant_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.
enforce_uniqueNo
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?

Annotations already declare readOnlyHint=true and destructiveHint=false, so the description's job is to add context. It explains pagination mechanics (auto-truncation, next_offset), response format options (markdown default vs json shape), and that large lists auto-truncate. No contradiction with 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 well-organized into sections (common patterns, pagination, filters, returns). Each sentence is purposeful, no redundancy. The use of bullet points and clear headings makes it easy to scan without wasted words.

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 the annotations (read-only, idempotent), schema (73% covered), and no output schema, the description covers all key behavioral aspects: how to paginate, what filters are available, and the response shape. It also directs the agent to netbox_get_vrf for single-item lookup, making the tool's role in a workflow clear. The only minor gap is that optionality of all parameters is implicit, but 'Common patterns' strongly implies it.

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 73% (8/11 params have descriptions), so baseline is 3. The description adds value by grouping filters into 'Resource-specific' and 'Universal' and provides brief clarifications for 'rd' and the date filters. However, 'enforce_unique' and 'tenant_id' lack explanation, and 'name' is left blank. Still, the grouping and pagination details elevate it above baseline.

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 the verb 'List' and the resource 'VRFs (routing tables) from NetBox'. It distinguishes from the sibling tool netbox_get_vrf by advising to use that 'when you already have an id', and provides typical usage patterns (discovery, lookup, narrow scan).

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?

The description provides explicit guidance on when to use this tool: for discovery (no filters), lookup by ID (delegate to get_vrf), and narrow scanning (combine q with filters). It also documents pagination details with limit/offset and the auto-truncation behavior, which helps the agent decide how to iterate.

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