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minimax_plan

Create a detailed JSON implementation plan for coding tasks by providing task description and optional codebase context, leveraging MiniMax AI for structured execution.

Instructions

Generate a structured implementation plan as JSON using MiniMax AI.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
taskYesDescription of the task to plan
codebaseContextNoContext about the codebase
modelNoModel override (default: MINIMAX_DEFAULT_MODEL env var, typically M2.7)
Behavior2/5

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

No annotations are present, and the description does not disclose any behavioral traits such as side effects, authorization needs, or rate limits. It implies the output is JSON but does not explain if the plan is saved or how it is processed.

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, clear sentence that conveys the essential purpose without unnecessary words. It is front-loaded and efficient.

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?

Given the simple purpose and three parameters, the description is minimally adequate but lacks information about the output structure or return format. No output schema exists, so additional context would be beneficial.

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% with descriptions for all three parameters. The tool description adds no additional meaning beyond what the schema provides, so baseline score of 3 is appropriate.

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 a structured implementation plan in JSON format. It specifies the resource (implementation plan) and action (generate) but does not differentiate from sibling tools like minimax_agent_task or minimax_generate_code.

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 is provided about when to use this tool versus alternatives or any prerequisites. The description only states what it does without context on suitability.

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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