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Create Console_port

netbox_create_console_port

Create a new console port for a device in NetBox. Specify name, type, speed, and optional tags or custom fields. Returns summary or JSON.

Instructions

Create a new console_port in NetBox.

This adds a new row to NetBox. Ask before calling if the user wanted a dry-run.

Returns: Markdown summary of the newly created object (default) or JSON with the full NetBox response.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesPort name (required).
tagsNoOptional array of tag slugs to apply to the object.
typeNoConsole port type slug, e.g. 'rj-45', 'usb-a', 'usb-c', 'de-9', 'db-25'.
labelNo
speedNoSpeed in bps.
device_idYesDevice id (required). Exposed as device_id (not device) for the remote-devices bridge; mapped to the API field device on write.
descriptionNo
custom_fieldsNoOptional object of custom-field slugs -> values. Only include fields defined on your NetBox instance.
mark_connectedNo
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?

The description explicitly states that the tool adds a new row (side effect) and instructs to ask for a dry-run, which adds value beyond the annotations (non-readOnly, non-idempotent). It also describes the return format options. 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 three sentences, front-loaded with purpose, then a behavioral note, then return format. Every sentence serves a purpose with no filler. It is appropriately sized.

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?

Given the absence of an output schema, the description provides return format details. It covers creation, side effects, and dry-run instruction. However, it omits prerequisites (e.g., device must exist) and error handling, but is reasonably complete for a create operation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 70% description coverage, leaving parameters like 'label', 'speed', 'description', and 'mark_connected' without schema descriptions. The tool description does not add any parameter semantics; it only explains the return format. For a moderate coverage, the description should have compensated but did not.

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 'Create a new console_port in NetBox', which identifies the verb (create) and the specific resource (console_port). This distinguishes it from sibling tools that create other object types, like netbox_create_interface or netbox_create_console_server_port.

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?

The description includes 'Ask before calling if the user wanted a dry-run', which is a behavioral instruction but does not provide guidance on when to use this tool versus alternatives (e.g., update, delete, or other create tools). It lacks context for prerequisites or when not to use it.

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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