# What is Tool Ingestion? Definition & Technical Mechanics

> **Source:** [SPIDITS AI AI Glossary](https://spidits.com/ai-glossary)  
> **Category:** Agentic Systems  
> **Canonical Citation:** [https://spidits.com/ai-glossary/tool-ingestion](https://spidits.com/ai-glossary/tool-ingestion)

## Definition
Tool Ingestion is the capability of an AI Agent to dynamically read, understand, and register external APIs, scripts, or documentation for use. This allows agents to expand their toolsets autonomously during execution.

## Architectural Mechanics & Deep Dive
Tool Ingestion is the capability of an AI Agent to dynamically read, parse, and incorporate external tool specifications (such as APIs, documentation, or CLI commands) at runtime. By automatically translating OpenAPI schemas or function signatures into internal calling templates, the agent expands its own feature capabilities without manual coding.

## Industry Applications & Real-World Use Cases
Autonomous coding agents, dynamic API workspaces, and extensible systems integration

## Frequently Asked Questions

### How does an agent ingest a new tool?
By reading the OpenAPI schema or code docstrings of the tool, generating a structured function schema, and adding it to its runtime environment.

### What protocol supports this?
The Model Context Protocol (MCP) provides a standard scheme for agents to inspect and ingest tools and resources.

## Related Terminology
- [ai-agent](https://spidits.com/ai-glossary/ai-agent)
- [mcp](https://spidits.com/ai-glossary/mcp)
- [function-calling](https://spidits.com/ai-glossary/function-calling)

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*From the SPIDITS AI Knowledge Base (300+ terms indexed). Explore full technical definitions: [https://spidits.com/ai-glossary](https://spidits.com/ai-glossary)*