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Create Rack_role

netbox_create_rack_role

Create a new rack role in NetBox to categorize racks. Requires name and slug; optionally add tags, color, description, or custom fields.

Instructions

Create a new rack_role 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
nameYesRack role name (required).
slugYesURL slug (required).
tagsNoOptional array of tag slugs to apply to the object.
colorNoHex color without '#'.
descriptionNo
custom_fieldsNoOptional object of custom-field slugs -> values. Only include fields defined on your NetBox instance.
response_formatNoOutput format: 'markdown' (default, human-readable) or 'json' (full structured payload). Use 'json' when chaining follow-up tool calls.markdown
Behavior3/5

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

Annotations already indicate a write operation (readOnlyHint=false) and non-destructive (destructiveHint=false). The description adds the dry-run caution and explains the return format (markdown/json). No contradictions. It does not disclose potential side effects (e.g., duplicate handling, required permissions), but the annotations partially cover safety. The added value is moderate.

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?

The description is three sentences, each with a clear purpose: purpose statement, usage caution, and return info. It is concise and front-loads the action. Could be slightly more structured (e.g., bullet list for parameters), but efficient for an agent.

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

Completeness3/5

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

With 7 parameters (2 required), high schema coverage, and no output schema, the description provides essential context: creation action, dry-run caution, and output format choice. It does not explain what a rack_role is, prerequisites, error scenarios, or behavior on duplicate. Adequate but leaves gaps for a complex tool set.

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 86%, so most parameters are explained in the schema. The description adds value only for 'response_format' by explaining its purpose in the 'Returns' section. Other parameters like 'name', 'slug', 'color' are not further elaborated. Baseline 3 is appropriate as the description complements but does not significantly enhance parameter understanding.

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 action ('Create'), the resource ('rack_role'), and the system ('NetBox'). It is specific and distinguishes from other create tools by naming the precise object. No ambiguity.

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 only usage guidance is 'Ask before calling if the user wanted a dry-run.' This is useful but minimal. There is no comparison with sibling tools (e.g., netbox_create_rack, netbox_create_device) or advice on when to choose this tool over others. The agent gets a caution but lacks context for selection.

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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