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webski101
by webski101

minimax_complete

Generate a single-turn text completion from a prompt using the MiniMax M3 model, with optional system message and generation settings.

Instructions

Single-turn text completion against MiniMax M3. Wraps a prompt (plus optional system) into a one-message conversation and returns the assistant content.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
stopNo
userNo
modelNoMiniMax-M3
top_pNo
promptYes
systemNo
max_tokensNo
temperatureNo
presence_penaltyNo
frequency_penaltyNo
Behavior2/5

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

No annotations provided, so description must disclose behavioral traits. It only mentions wrapping prompt/system into a one-message conversation and returning content, but omits error handling, rate limits, permissions, or 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?

Single sentence with no redundancy, efficiently conveys core functionality.

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?

With 10 parameters and no output schema, the description is too brief. Does not explain return values, parameter usage, or behavioral details beyond basic wrapping.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%; description only mentions 'prompt' and 'system', ignoring 8 other parameters. Does not compensate for missing schema descriptions.

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 tool performs single-turn text completion against a specific model (MiniMax M3), distinguishes it from sibling tools like minimax_chat by emphasizing 'single-turn'.

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?

Implies single-turn use case but does not explicitly state when to use vs alternatives or when not to use. Sibling names hint at distinctions, but description lacks direct guidance.

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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