Skip to main content
Glama
dok4everak47

Laravel MCP Server

by dok4everak47

makeController

Create a new Laravel controller class. Specify API or resource type and bind a model as needed.

Instructions

Create a new controller class

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
apiNoGenerate API controller (excludes web methods)
nameYesController name (e.g. 'PostController')
modelNoBind to a model for resource controller
resourceNoGenerate resource controller with CRUD methods
Behavior1/5

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

With no annotations available, the description must disclose behavioral aspects. It only says 'Create a new controller class' without mentioning file system changes, overwrite risks, or that it may scaffold additional files. This is insufficient for an AI agent to assess side effects.

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 a single concise sentence with no filler words. It is perfectly front-loaded and to the point.

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?

The tool has four parameters and no annotations or output schema, yet the description only states its core purpose. It omits context about the generated controller's structure, the meaning of the API/resource flags in practice, and any side effects, making it incomplete for an agent's decision-making.

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?

The input schema has 100% coverage with descriptions for all four parameters, so the baseline is 3. The description adds no parameter-specific information, relying entirely on the schema.

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 that the tool creates a new controller class, using a specific verb and resource. This distinguishes it from sibling tools like makeModel and makeMigration, which create different artifacts.

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 provides no guidance on when to use this tool versus alternatives such as crudGenerator or apiGenerator. It lacks any context about required prerequisites or recommended scenarios.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/dok4everak47/laravel-ai-agent'

If you have feedback or need assistance with the MCP directory API, please join our Discord server