How deeply does Authorization in Action cover tool usage?

Defines invocation and structured integration, but defers the authorization decision governing whether a call is allowed.

Tool usage

As explained in Authorization in Action

A tool invocation is a request by an agent or software system to execute an operation provided by an external tool.

Tool usage is an agent’s request to perform an operation outside the model itself. Tools can retrieve documents, query databases, call internal APIs, or trigger automated workflows; the agent selects them while pursuing a goal. section 18.2

Structured interfaces describe each operation with a name, description, and input schema. The Model Context Protocol (MCP) lets an agent discover and invoke tools through a common interface while the MCP server translates requests into system-specific API calls. section 18.2

Document search

An agent invokes documents.search with a customerId and query. The MCP server maps that request to ACME’s document-search API and returns results in an agent-usable form. section 18.2

How Authorization in Action covers it

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Also explained in

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Build an AI Agent (From Scratch)A tool call is a model-generated specification requesting invocation of a particular external tool with particular arguments.
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AI Agents and ApplicationsA tool call is a structured model response that requests invocation of a named tool with supplied arguments.
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Introduction to Generative AI, Second EditionTool use is an AI system capability in which the system invokes external software, services, or functions to perform actions or obtain information.
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AI for Everyday ITFunction calling is a language-model capability that enables a model to request invocation of defined software functions or external services by producing structured arguments.
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Reinforcement Learning from Human FeedbackTool use is a model capability in which generated interactions invoke external tools or services to perform tasks.
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Build AI-Enhanced Web AppsTool calling is a technique in which an AI model emits a structured request for an external tool or function, receives the execution result, and incorporates it into its response.
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Build Python Web Apps with StreamlitTool use is the capability of an AI system to invoke external software functions or services while solving a task.
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Investing for ProgrammersA tool use pattern is an agent architecture in which an agent delegates tasks to external tools, libraries, or APIs and integrates their results.
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Spring AI in ActionA tool call is a model-generated request for an application to invoke an external callable capability.
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Building Reliable AI SystemsAn AI capability in which a model invokes external tools to obtain information or perform actions.
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AI Agents in Action, Second EditionA tool call is a structured request from an AI system to invoke a tool and obtain its result.
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AI Agents in ActionFunction calling is an LLM interface capability that produces a structured request to invoke a named function with extracted arguments.

Compare how 13 books explain tool usage →

Related concepts

OpenAI APIuses · The OpenAI API is a programming interface that allows software applications to send requests to OpenAI models and services and receive responses.
command-line interfacecontrasts with · A command-line interface is a text-based interface through which users or programs interact with software or a computer by entering commands and receiving output.
reliable agentused by · An AI agent that performs tool use and multi-step workflows while taking safe actions.
tool descriptionuses · A tool description is a structured specification of a callable tool's purpose, capabilities, and invocation interface, including its expected inputs.
control looppart of · A control loop is a repeated process that observes a system’s state, compares it with a desired state, and uses feedback to guide corrective action.
AI agentused by · An AI agent is a computational system that uses artificial intelligence to interpret information, select actions, and pursue goals through interaction with an environment.

This explainer was generated by Manning's knowledge graph from the text of Authorization in Action. The section links point to the parts of the book it draws on.