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minimax_generate_code

Describe a coding task in any programming language to generate code using MiniMax AI. The result can be written directly 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
Behavior4/5

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

With no annotations provided, the description discloses the main behavioral traits: code generation and optional file writing. It doesn't mention authentication, rate limits, or error handling, but the core behavior is clear.

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, efficient sentence that front-loads the key action and optional behavior, with no wasted words.

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?

No output schema exists, and the description fails to explain the return format or structure of the generated code beyond 'returns generated code'. This is a gap for a code generation tool that might return complex objects.

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%, and the description adds no additional meaning beyond what the input schema already provides for each parameter. The baseline of 3 applies.

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 the verb 'Generate' and the resource 'code using MiniMax AI', and distinguishes from sibling tools like minimax_chat and minimax_agent_task which serve different purposes.

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 for code generation but provides no explicit guidance on when to use this tool versus alternatives like minimax_agent_task or minimax_chat, nor any prerequisites or exclusions.

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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