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mhajder

NetBox MCP Server

by mhajder

Netbox Bulk Create Objects

netbox_bulk_create_objects

Create up to 500 NetBox objects of one type in a single all-or-nothing transaction. Use it to batch-write records and return their created IDs at once.

Instructions

Create many objects of one type in a single transaction (all or nothing). Returns the IDs of the created objects.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesObjects to write.
object_typeYesNetBox object type as 'app.model' (e.g. 'dcim.device', 'ipam.ipaddress', 'virtualization.virtualmachine') or as an API path ('dcim/devices'). netbox_list_object_types lists every type.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=false, idempotentHint=false, and destructiveHint=false, so the safety profile is covered. The description adds genuinely new behavior beyond them: atomic all-or-nothing execution, which is material for a non-idempotent write. It does not disclose permission requirements or any batch-size or rate constraints (the 500-item cap lives only in the schema).

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?

Two sentences, zero filler. The atomicity guarantee and return value are front-loaded and each sentence carries distinct information.

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

Completeness4/5

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

With annotations, a fully described schema, and an output schema covering return values, the description supplies the one thing structured fields cannot: the all-or-nothing transaction semantics. Only the absence of permission or batch-limit context keeps it from being fully complete.

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%: object_type documents the 'app.model' vs API-path forms and points at netbox_list_object_types, and data documents its role. The description adds no parameter-level detail beyond that, so the baseline 3 applies.

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?

States a specific verb and resource ('Create many objects of one type') and adds transactional scope ('single transaction, all or nothing'). The word 'many' implicitly separates it from netbox_create_object, but no sibling is named explicitly, so differentiation is left to inference.

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

Usage Guidelines3/5

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

The bulk/multi-object framing implies when this tool is appropriate versus a single-object create, but the description never states a when-to-use condition, a when-not-to-use condition, or names an alternative such as netbox_create_object or netbox_bulk_update_objects. Usage is implied rather than prescribed.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.