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HBT-INC-0275 · Dimension INC · Incentives

Tool Use

Models calling external functions and APIs.

Workflow·AI-Behavioral Coupling·Grade C·draft· enriching…
In one paragraph

Tool Use is models calling external functions and APIs. It sits in the Incentives dimension (INC) of the Human Behavior Taxonomy™ as element HBT-INC-0275, within the Workflow family. The core principle: models calling external functions and APIs. In incentive terms, it matters because it changes the payoff people perceive before they choose — which means it can be designed for, or exploited.

Scientific Definition

Models calling external functions and APIs.

Plain-English Definition

Models calling external functions and APIs.

Feynman Explanation

Models without tools talk. Models with tools act.

Core Principle

Models calling external functions and APIs.

Mechanisms

Psychological

Pending editorial review.

Behavioral Economic

Pending editorial review.

Neurological

Pending editorial review.

Evolutionary

Pending editorial review.

Sociological

Pending editorial review.

Computational

Pending editorial review.

Systems

Pending editorial review.

Inputs (Triggers)

Pending editorial review.

Outputs (Behaviors)

Pending editorial review.

Behavioral Signature

Models without tools talk. Models with tools act.

Examples

Everyday
  • Function calling, code execution, web search.
Modern (Organizational)
  • Foundation of agent capability.
Historical

Pending editorial review.

Lab Commentary

Original analysis from The Incentives Lab — how this element behaves inside real payoff structures.

Why this element matters to incentive design

The mistake with this element is treating it as irrationality. It is almost always a rational response to a payoff nobody wrote down. The mechanism underneath it operates in the Incentives dimension — what makes behavior more or less likely?. You can recognize it in the field by its signature: models without tools talk. Models with tools act. Every element in the Incentives dimension changes the perceived payoff of an action before the action happens, which is exactly where incentive design has leverage.

How it gets exploited

Left undesigned, foundation of agent capability. It is amplified whenever foundation of agent capability. Inside organizations that shows up as foundation of agent capability. The pattern is the same one Goodhart's Law describes: the measurable proxy attracts the effort, and the purpose behind it quietly loses funding.

How the Lab designs around it

The redesign move is to sandbox tools. Audit calls. Rate limit. The leverage is not in explaining the behavior to people. It is in changing what the behavior earns.

Famous Experiments

Pending editorial review.

Design Principles

  • Sandbox tools. Audit calls. Rate limit.

Measurement Approaches

Pending editorial review.

Evidence

Evidence Grade
C (A strongest → E speculative)
Replication
★★☆☆☆
Intervention Confidence
3 / 5
Consensus
Pending editorial review (HBT v1.0 auto-seed).
Limitations
Pending editorial review (HBT v1.0 auto-seed).
Open Research Questions

Pending editorial review.

Primary References

Pending editorial review.

Signature Section

The Perverse Incentive Lens™

How this behavior is exploited — and how to redesign around it.

Exploitation
Foundation of agent capability.
Amplifying Incentives
Foundation of agent capability.
Org Failure Modes
Foundation of agent capability.
Societal Failure Modes
Pending editorial review (HBT v1.0 auto-seed).
Ethical Considerations
Pending editorial review (HBT v1.0 auto-seed).
Redesign Strategies
Sandbox tools. Audit calls. Rate limit.
Diagnostic Questions
  • Sandbox tools. Audit calls. Rate limit.
Warning Signs

Pending editorial review.

Red Flags

Pending editorial review.

Intervention Playbook
Individual
Sandbox tools. Audit calls. Rate limit.
Team
Pending editorial review (HBT v1.0 auto-seed).
Organization
Pending editorial review (HBT v1.0 auto-seed).
Policy
Pending editorial review (HBT v1.0 auto-seed).
AI Implications
Detection
Pending editorial review (HBT v1.0 auto-seed).
Measurement
Pending editorial review (HBT v1.0 auto-seed).
Mitigation
Pending editorial review (HBT v1.0 auto-seed).
Responsible Use
Pending editorial review (HBT v1.0 auto-seed).

Interactive Mini Network

Click any neighbor to re-center the graph and follow the threads of connection.

HBT-INC-0275 · INC
Tool Use
TUAgAgentAWAI-First Workflow De…CDConcept DriftCWContext WindowDDData DriftEmEmbeddingEDEval DriftEFEvaluation Framework…ILIn-Context LearningLBLatency Budget

Knowledge Graph Neighbors

Where Tool Use is cited in the corpus

Questions about Tool Use

What is Tool Use?
Tool Use is models calling external functions and APIs. It sits in the Incentives dimension (INC) of the Human Behavior Taxonomy™ as element HBT-INC-0275, within the Workflow family. The core principle: models calling external functions and APIs. In incentive terms, it matters because it changes the payoff people perceive before they choose — which means it can be designed for, or exploited.
What is an example of Tool Use?
Foundation of agent capability. The Incentives Lab catalogs everyday, organizational, and historical instances of this element on its Human Behavior Taxonomy™ page (HBT-INC-0275).
How is Tool Use exploited?
Foundation of agent capability.
How do you design around Tool Use?
Sandbox tools. Audit calls. Rate limit.
Which behavioral dimension does Tool Use belong to?
Tool Use is classified in the Incentives dimension (INC) of the Human Behavior Taxonomy™, family "Workflow", class "AI-Behavioral Coupling". Its permanent identifier is HBT-INC-0275 and its evidence grade is C.

Version History

v1.1.0 · 2026-06-28Initial auto-seed from corpus.