Back to Glossary Index
Core ConceptPrompt / Persona Layer

Prompt Engineering

Industry Definition Set • Entity Resolution Path: /glossary/prompt-engineering

Quick Answer / TL;DR

The practice of designing and optimizing prompts to elicit desired behaviors from LLMs, including tool selection, output format, and reasoning quality.

Key Takeaways

  • Crafting prompts to guide LLM behavior.
  • Critical for reliable tool selection and argument formatting in MCP.
  • Can be standardized via MCP prompt templates.
  • Iterative process involving testing and refinement.
Definitive Statement: The practice of designing and optimizing prompts to elicit desired behaviors from LLMs, including tool selection, output format, and reasoning quality.

Technical Context & Protocol Usage

Detailed Explanation
Prompt engineering involves crafting system prompts, few-shot examples, and instructions to guide model behavior. In MCP, good prompt engineering helps the model select the right tools, format arguments correctly, and handle edge cases. MCP servers can export prompt templates to standardize this across clients.

Format & Payload Metadata

Format: Natural language instructions, few-shot examples, system prompts

Latency: No overhead; affects token usage and model behavior

Real-World Implementation Use Case

An MCP server exports a `code-reviewer` prompt template that instructs the model to use specific analysis tools in a particular order.

M
MCPserver.in Engineering

Platform Team

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

Cite This Page

MLA Style:

MCPserver.in Engineering. "Prompt Engineering." MCPserver.in Knowledge Hub, 20 July 2026, mcpserver.in/glossary/prompt-engineering.