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RoanokeControls

flutter-coder

flutter_codegen

Generate Flutter/Dart boilerplate for widgets, BLoC, Riverpod, tests, freezed, and repositories from a template and name, with optional typed properties, to accelerate project scaffolding.

Instructions

Generate Flutter/Dart boilerplate code. Supports StatelessWidget, StatefulWidget, BLoC, Riverpod, tests, freezed, and repository patterns.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesName for the generated class/widget (e.g., 'UserProfile', 'ShoppingCart')
propsNoOptional properties with types (e.g., ['String name', 'int age', 'bool isActive'])
templateYesTemplate type: stateless, stateful, bloc, riverpod, test, freezed, repository
Behavior2/5

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

No annotations are provided, so the description carries full burden of behavioral disclosure. It states it generates code but doesn't disclose whether it writes to files, returns code as a string, requires project context, has side effects, or how output is delivered. For a generation tool potentially writing files, this is a meaningful gap.

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 a single sentence listing capabilities plus a useful set of supported patterns. It's compact and front-loaded with the core purpose. Could arguably be split for readability, but there's no wasted content and every part adds information.

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?

For a code-generation tool with no output schema, no annotations, and 3 parameters, the description should clarify what the generated output looks like or how results are returned (file writes vs string output). The supported-pattern list is helpful, but there's no guidance on output format, side effects, or error behavior, which matters for a generation tool. Incomplete for its complexity.

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 schema fully documents all 3 parameters. The description adds the supported template values (widgets, BLoC, Riverpod, tests, freezed, repository patterns), which enriches the template parameter's meaning beyond the schema's plain list. This earns a baseline 3 with slight added value, though it doesn't clarify the props format beyond what's in the schema.

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?

The description uses a specific verb+resource ("Generate Flutter/Dart boilerplate code") and lists supported patterns. It's clear what the tool produces. However, with 14 sibling tools mostly about docs/reference/sample lookups, it doesn't explicitly distinguish itself as the only code-generation tool, though the intent is reasonably inferable from "Generate". It's clear but not maximally differentiated.

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?

There is no explicit guidance on when to use this tool vs alternatives. Given the many sibling tools (dart_language_ref, flutter_docs, flutter_get_sample, etc.), a note clarifying that this is for generating boilerplate rather than looking up documentation or samples would help. The context is implied by the action "Generate" but no when/when-not or alternative exclusions are stated.

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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