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NVIDIA Chat Completion

chat_completion

Generate a non-streaming chat completion for user prompts via NVIDIA's OpenAI-compatible API. Supports optional system prompt and model parameters.

Instructions

Run a non-streaming chat completion through NVIDIA's OpenAI-compatible API.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modelNonvidia/nemotron-3-ultra-550b-a55b
promptYesUser prompt.
max_tokensNo
temperatureNo
include_usageNo
system_promptNoOptional system instruction.
Behavior3/5

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

No annotations provided. Description mentions 'non-streaming' but does not disclose side effects, authentication, rate limits, or error behavior. Minimal but not misleading.

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, front-loaded with purpose. No wasted words, but could include brief parameter context without becoming verbose.

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 return value unclear. Sibling tools are listed but not differentiated. Description is adequate for a simple tool but lacks depth.

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

Parameters2/5

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

Schema coverage is low (33%). Description does not explain key parameters like max_tokens, temperature, include_usage, or model beyond their default values and constraints.

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 'run', the resource 'non-streaming chat completion', and the API provider. It distinguishes from siblings like generate_image and list_models.

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., streaming, other API calls). No mention of prerequisites or context.

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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