Skip to main content
Glama

minimax_generate_code

Generate code in any programming language by describing the task; optionally save the output to a file.

Instructions

Generate code using MiniMax AI. Returns generated code and optionally writes it to a file.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
taskYesDescription of the code to generate
languageYesProgramming language (e.g., typescript, python, go)
filePathNoIf provided, write generated code to this file path
modelNoModel override (default: MINIMAX_DEFAULT_MODEL env var, typically M2.7)
contextNoAdditional context about the codebase or requirements
Behavior2/5

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

With no annotations, description bears full burden. It only mentions returns and optional file write, lacking details on behavior like overwriting files, auth requirements, rate limits, or error handling.

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?

Single sentence conveying core action and outcome. Efficient but could benefit from structured format (e.g., bullet points) for clarity.

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?

No output schema, so description should clarify return format (missing). Given 5 parameters and sibling tools, description is adequate but not fully complete for an agent to judge all nuances.

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 covers 100% of parameters with descriptions, so baseline is 3. Description adds minimal extra context (e.g., filePath optional write), not significantly beyond 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 clearly states the tool generates code using MiniMax AI and returns it, with optional file write. This differentiates from siblings like minimax_chat, but does not explicitly contrast with minimax_agent_task.

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?

No guidance on when to use this tool versus alternatives (e.g., minimax_agent_task for more complex tasks). Missing when-not-to-use or prerequisite information.

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/wongo/my-minimax-mcp'

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