Back to Glossary Index
Core ConceptModel Inference Parameter

Temperature

Industry Definition Set • Entity Resolution Path: /glossary/temperature

Quick Answer / TL;DR

A sampling parameter that controls the randomness of LLM output, where lower values produce more deterministic text and higher values produce more creative variations.

Key Takeaways

  • Controls randomness in LLM output generation.
  • 0 = deterministic/greedy; higher = more random/creative.
  • Lower temperatures are better for tool calling and structured output.
  • Higher temperatures are better for creative writing and ideation.
Definitive Statement: A sampling parameter that controls the randomness of LLM output, where lower values produce more deterministic text and higher values produce more creative variations.

Technical Context & Protocol Usage

Detailed Explanation
Temperature is a float parameter typically between 0 and 2. At temperature 0, the model always selects the most likely next token (greedy decoding), producing deterministic output. At higher temperatures (0.7-1.0), the model samples from a broader distribution, producing more varied and creative text. For MCP tool calling, lower temperatures (0-0.3) are usually preferred to ensure reliable, repeatable tool selection.

Format & Payload Metadata

Format: Float (typically 0.0 to 2.0)

Latency: No direct latency impact; affects output variability

Real-World Implementation Use Case

Setting temperature to 0.1 for an MCP agent ensures it consistently selects the correct database query tool rather than improvising.

M
MCPserver.in Engineering

Platform Team

Published: 2026-07-20
Updated: 2026-07-20

Cite This Page

MLA Style:

MCPserver.in Engineering. "Temperature." MCPserver.in Knowledge Hub, 20 July 2026, mcpserver.in/glossary/temperature.