Agent Tool Abuse
Testing whether an AI agent can be manipulated into calling a legitimate tool it has access to in an unintended or harmful way.
- Category
- Agentic AI Security
- Difficulty
- Intermediate
- Last Updated
- 20 September 2026
Lab detail
Objective
An agent with legitimate access to tools (send email, query a database, call an API) can be manipulated — via prompt injection or a misleading task — into using those tools in ways the designer didn’t intend, without ever exceeding its nominal permissions. This lab will build a reference agent with a small set of realistic tools and test how reliably its tool-use stays within intended purpose.
Planned Scope
- Build a reference agent with 2–3 realistic tools (e.g. send-message, look-up-record, create-ticket).
- Test manipulation via direct instruction, indirect injection and misleading task framing.
- Measure how tool-use confirmation, scoping and rate-limiting affect abuse potential.
- Document tool-design and prompt-boundary patterns that reduce abuse surface.
Framework Mapping
Referenced frameworks
Exact control-ID mappings are to be validated as this lab progresses — see the full Frameworks reference.
Responsible Use / Safety Notes
How this lab is run
This lab uses synthetic data and controlled environments. It is intended to demonstrate defensive AI-security principles and does not contain customer data, production credentials or intentionally weaponized exploit infrastructure.
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