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Dragoon0x

conductor-figma

by Dragoon0x

create_form

Build form layouts in Figma with labeled inputs, validation states, and submit button. Configure fields, input types, accent color, and submit text to generate complete forms.

Instructions

Create a form layout with labeled inputs, validation states, and submit button.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fieldsYesFields: [{ label, type: "text|email|password|select|textarea", required }]
parentIdNoParent node
brandColorNoAccent color
submitLabelNoSubmit button text (default: Submit)
Install Server

TDQS

B3.2/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states what is produced (a form layout) but not how the tool behaves: where the form is inserted in the document, whether parentId is required or optional in practice, whether repeated calls accumulate or replace, or what the tool returns. For a mutating create operation with zero annotation coverage, this is a significant gap.

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?

A single 13-word sentence with zero filler; the resource and its contents are stated up front in the first clause. Every word earns its place and the structure is immediately scannable.

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

Completeness2/5

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

With no annotations and no output schema, the description must stand alone, and it does not. An agent cannot tell where the form is created, what 'validation states' actually renders, whether a page or selection must exist first, or what a successful call returns. For a 4-parameter mutation tool operating on a design canvas, this is incomplete and leaves key invocation decisions to guesswork.

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%, so the baseline is 3. The description loosely maps to parameters (labeled inputs → fields, submit button → submitLabel) and adds mild context by describing validation states, which correspond to the type/required properties in the fields array. However, it adds no extra meaning for parentId or brandColor beyond the schema's one-liners, so it neither compensates for gaps nor substantially enriches semantics.

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 states a specific verb ('Create') and resource ('form layout') and enumerates the contained elements: labeled inputs, validation states, and submit button. It is immediately distinguishable from the large pool of create_* siblings (create_nav_bar, create_card_grid, create_sidebar_layout) because no other tool targets forms. This is a specific verb+resource statement that an agent can act on.

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 gives no guidance on when to prefer this tool over alternatives, no prerequisites, and no exclusions. With roughly 150 siblings including many create_* layout tools, the agent must infer usage purely from the tool name. This matches the 'no guidance' level rather than implied usage, since no contextual signal about the design workflow is provided.

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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