Secure Tool Use for AI Agents: Practical Runtime Boundaries
How to let agents use tools without turning every integration into a secret exposure risk.
Audience: Security and platform teams reviewing tool-using agent systems.
The problem
Tool access is where prompt injection becomes real operational risk: reading the wrong file, calling the wrong endpoint, or leaking a token.
Implementation path
Expose narrow tools, validate arguments, keep credentials in the tool-owning service, and log each call outside the agent workspace.
Tradeoffs and failure modes
Narrow tools reduce agent freedom, but make production behavior reviewable.
Tool policy
tool: read_input_file
allowed_path_prefix: /skill/.argo/inputs
network: denied
logs: retained outside workspace
Run this on Argo