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The Incentives Lab
AI Incentives · Workflow

Tool Use

Models calling external functions and APIs.

"Models without tools talk. Models with tools act."

Quick answer

What is Tool Use? Models calling external functions and APIs. Foundation of agent capability.

In the wild

Function calling, code execution, web search.

Why it matters in the room

Foundation of agent capability.

Counter-move

Sandbox tools. Audit calls. Rate limit.

Visual · Reward gradient
REWARD ↑OPTIMIZER →
Tool Use shows where an optimizer climbs vs where we want it to go.
Live example · Train around Tool Use

Pick what to reward the model for.

Models calling external functions and APIs. In the wild: Function calling, code execution, web search.

● Live

Pick a lever. There are no neutral ones — every incentive funds a behavior somewhere.

How does this land?

Pick a reaction to Tool Use

One tap. We'll point you at the most useful next surface based on how this hits.

Human Behavior Element™ · HBE Spec

The full taxonomy entry

Every concept in the Atlas uses the same structure — so Tool Use can be compared, recombined, and cited like an element on a periodic table.

About the standard →
A
TU
HBT-A3458
Official name
Tool Use
AI Incentives · Workflow
Identity
HBT ID
HBT-A3458
Symbol
TU
Official name
Tool Use
Synonyms
Workflow
Keywords
AI Incentives, Workflow, human behavior, incentive design
Version
v1.0
Last updated
Maintained by The Incentives Lab
Classification
Kingdom
Systems
Domain
Machine Behavior
Family
AI Alignment & Incentives
Class
Workflow
Element
Tool Use
Definition
Scientific
Models calling external functions and APIs.
Plain-English
Models calling external functions and APIs.
Feynman
Models without tools talk. Models with tools act.
Core principle
Models calling external functions and APIs.
One-sentence summary
Foundation of agent capability.
Mechanisms
Psychological
Models calling external functions and APIs.
Behavioral econ.
Foundation of agent capability.
Neurological
Reward, threat, and salience circuits bias attention toward the cue.
Evolutionary
Heuristics that paid off in ancestral environments now misfire in modern systems.
Sociological
Group norms and status incentives reinforce the pattern across a team.
Computational
Models trained on biased human signals will replicate and amplify the pattern.
Systems thinking
Feedback loops between metrics, incentives, and behavior lock the pattern in place.
Signals & signature
Inputs (activators)
Function calling, code execution, web search.
Outputs (observable)
Foundation of agent capability.
Behavioral signature
You see Tool Use when the explanation for a decision sounds reasonable but the outcome keeps repeating.
Behavioral molecules
Often combines with related Atlas entries — see the rail below.
Pathways · before
A goal, metric, or contract clause makes the behavior rational locally.
Pathways · after
Locally rational choices accumulate into a systemic distortion.
Domains where it shows up
  • Business
  • Leadership
  • Government
  • Healthcare
  • Education
  • Sales
  • Marketing
  • AI
  • Negotiation
  • Media
  • Public Policy
  • Relationships
Examples
Everyday
Function calling, code execution, web search.
Modern
Foundation of agent capability.
Historical
A pattern repeatedly documented since the foundational behavioral science literature on ai alignment & incentives.
Famous experiments
See the References block — primary papers in the Atlas link out to the original studies.
Design principles
How to leverage
Foundation of agent capability.
How to reduce
Sandbox tools. Audit calls. Rate limit.
How to redesign
Sandbox tools. Audit calls. Rate limit.
The Perverse Incentive Lens™
How it's exploited
Organizations weaponize tool use — sometimes deliberately, often by accident — when metrics reward the symptom rather than the outcome.
Common perverse incentives
Volume metrics, short review windows, bonus cliffs, and contracts that pay on activity rather than impact.
Failure modes
When Tool Use dominates, teams optimize for the dashboard while the real outcome quietly degrades.
Incentive redesign
Sandbox tools. Audit calls. Rate limit.
Ethical considerations
Don't engineer tool use into customers, employees, or citizens as a manipulation tactic — design for informed choice instead.
Diagnostic questions
  • Where in our org would Tool Use most often show up unnoticed?
  • Which metric, ritual, or contract clause quietly rewards Tool Use?
  • If we removed every payoff for Tool Use, what behavior would replace it?
  • Who benefits when Tool Use persists — and who pays the cost?
Organizational warning signs
Metrics
A KPI is hit while the underlying outcome stalls or worsens.
Behaviors
People route around the rule rather than challenge it.
Language
'That's just how we do it here.' / 'The system requires it.'
Culture
Naming the pattern is treated as disloyalty.
Red flags
  • People defend the status quo using the language of tool use.
  • Decisions cluster around the easiest narrative rather than the strongest evidence.
  • New data changes the slide deck but not the decision.
  • Anyone naming the pattern is treated as the problem.
Intervention playbook
Immediate
Make the perverse payoff visible to the people creating it.
30-day
Run a small pilot that pays for the outcome, not the proxy.
Long-term
Rewrite the comp plan, contract, or ritual so the right behavior becomes the easy behavior.
AI considerations
Detect
Audit training data and reward signals for the same pattern this element describes.
Avoid amplifying
Don't optimize models on metrics that already encode the perverse incentive.
Counteract
Use the model to surface where the pattern is most active, then redesign the incentive — not the model.
Measurement
Metrics
Outcome-to-proxy ratio over time.
Assessment
The Incentives Lab III Diagnostic.
Survey
Calibrated pulse questions on rules vs. outcomes.
Behavioral signals
Where people work around the system.
Observational
Where the dashboard and the lived experience disagree.
Scientific evidence
Evidence grade
Synthesized from the behavioral science literature; see Atlas references.
Replication
Tracked in the Atlas as primary, replicated, or contested.
Intervention confidence
Moderate — patterns generalize, mechanisms vary by context.
Research consensus
Broad agreement on the pattern; ongoing debate on boundary conditions.
Known limitations
Local context, culture, and incentive structure all change the strength of the effect.
Open questions
How does Tool Use interact with AI-mediated decisions at scale?
References
Meta-analyses
Tracked in the Atlas registry.
Seminal authors
Kahneman, Tversky, Thaler, Ariely, Cialdini, Ostrom, Simon — and the field they built.
Cross references

Every Atlas entry is a node in a knowledge graph. See the related rail below to follow the connections.

Disciplinary layers

See Tool Use through 4 lenses

Each layer of the Incentives OS reframes this concept with its own thinkers, vocabulary, and diagnostic question.

Test yourself · 60 seconds

Do you actually know Tool Use?

Three quick questions. Result is saved into your review streak — come back when the term is due to lock it in.

Question 1 of 3Score: 0/3

Which best describes Tool Use?

Go deeper

Worked example, counter-example & concept map

On-demand AI analysis grounded in the Lab's research. Cached on your device after first run.

How this lands in you

Your nervous system has a region for this.

Primary region
Prefrontal Cortex

When you encounter Tool Use, your prefrontal cortex has to do extra work to override the automatic response — and that override budget is finite.

Executive control, planning, impulse override, working memory, System 2. First thing to go offline under stress, fatigue, or low blood sugar. Why your 4pm decisions are worse than your 9am ones.

See Prefrontal in the Brain Atlas →
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