Skip to main content
Glama

generate

Generate boilerplate code for components, hooks, services, tests, API routes, models, and utilities. Specify type, name, and options like framework or TypeScript.

Instructions

Generate boilerplate code from templates. Create components, hooks, services, tests, API routes, models, and utilities with best practices built in.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesName for the generated code (e.g., UserCard, useAuth, ApiService)
typeYesType of code to generate
optionsNoGeneration options
Behavior2/5

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

No annotations are provided, so the description must fully convey behavior. It only states creation from templates but omits details like file creation side effects, overwrite behavior, or output location, leaving significant behavioral gaps.

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?

Two concise sentences that front-load the main purpose and immediately list supported types. No extraneous information.

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?

The description provides a high-level overview but lacks detail on generation behavior, output structure, or how options affect results. Given the nested options parameter and no output schema, more completeness would aid correct use.

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 coverage is 100%, so baseline is 3. The description adds context by listing examples (e.g., UserCard) and mentioning best practices, but does not significantly deepen understanding beyond 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 it generates boilerplate code from templates and lists specific code types (components, hooks, etc.), matching the 'type' enum. It distinguishes from sibling tools like 'init' or 'workflow' by specifying template-based generation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage when needing boilerplate code but lacks explicit when-to-use or when-not-to-use guidance. No alternatives are mentioned despite siblings being unrelated.

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/taimiralain/StackGuide-MCP'

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