nvidia-nim-mcp

text_generation

Generate text from a single prompt for one-shot tasks like summarization, translation, extraction, or Q&A. Provide a prompt and optional parameters to get a direct text response.

Instructions

Generate text from a single prompt (simplified interface). Ideal for one-shot tasks like summarization, translation, extraction, or Q&A.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "prompt": "<prompt>"
    },
    "name": "text_generation"
  }
}

Input Schema

Name	Required	Description
`stop`	No
`model`	No
`prompt`	Yes	Text prompt
`max_tokens`	No
`temperature`	No
`system_prompt`	No

Schema Changelog

Changes observed during successful MCP inspections.

First observedv2.1.1Aug 14, 2026

TDQS

A3.5/5.0

Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only restates the basic function (generate text) and gives task examples, without disclosing any operational behaviors like response format, latency, rate limits, or authentication requirements. This is a significant gap.

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 two short sentences, front-loaded with the core action and offering a clear value proposition. No filler or redundant wording; every word earns its place.

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?

Given the tool has 6 parameters and no output schema, the description is too minimal. It omits important context about parameter usage, expected behavior, or what the response contains. The examples are helpful but do not compensate for the lack of operational details.

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 description coverage is only 17%, covering just the prompt parameter. The description mentions 'single prompt' but adds no explanation for stop, model, max_tokens, temperature, or system_prompt. With such low schema coverage, the description needed to compensate but did not.

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 generates text from a single prompt, and explicitly positions it as a simplified interface for one-shot tasks. Examples like summarization, translation, extraction, and Q&A make the purpose concrete and help distinguish it from likely siblings such as chat_completion.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It gives explicit context for when to use (one-shot tasks) but does not provide exclusions or alternatives. The phrase 'simplified interface' hints at being an alternative to more complex siblings, but no direct comparison or when-not-to-use guidance is given.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Deploy Server