tool-policy

Configure allowed-tool sets and execution policies for AI agent safety boundaries.

Updated May 11, 2026

Search Tags:#compliance #safety #governance #capability #harness #tool-policy

Ready to run

npx skills add https://github.com/AesopScott/mojo --skill tool-policy

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: tool-policy
Source: https://github.com/AesopScott/mojo/tree/main/harnesses/skills/tool-policy
Command: npx skills add https://github.com/AesopScott/mojo --skill tool-policy

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill addresses the risk of uncontrolled AI tool execution by providing a structured framework to define, test, and enforce capability boundaries for AI agents.

Core Features & Use Cases

Capability Control: Explicitly define which tools are permitted and the specific policies governing their invocation per route.
Safety Guardrails: Establish clear boundaries to prevent unauthorized access to sensitive systems, production environments, or external APIs.
Use Case: When developing a new AI feature that requires database access, use this Skill to define a restricted tool-call policy that prevents the agent from executing destructive queries while allowing read-only operations.

Quick Start

Use the tool-policy skill to define the allowed tool set and safety constraints for the new customer support API route.

Frequently Asked Questions about tool-policy

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I enforce safety boundaries for AI agent tool execution?▼

Enforce safety boundaries by configuring allowed-tool sets and execution policies within the AI agent harness. This structured framework defines capability boundaries, preventing unauthorized system access and controlling operational authority for deterministic tool-use.

What is deterministic capability control in AI tool-use harnesses?▼

Deterministic capability control is the explicit definition of permitted tools and invocation policies per route. It satisfies requirements for regression testing of tool-call logic and ensures secure implementation handoffs by preventing unauthorized access to sensitive systems.

How do I prevent AI agents from executing destructive database queries?▼

Prevent destructive database queries by defining a restricted tool-call policy that blocks unauthorized access. This allows you to establish safety guardrails that enable read-only operations while preventing the agent from executing destructive actions in production environments.

Can I restrict AI agent access to external APIs and production environments?▼

Yes, you can restrict AI agent access by establishing clear safety guardrails. The tool-policy framework configures execution policies that prevent unauthorized access to sensitive systems, production environments, and external APIs while allowing permitted operations.

How do I audit tool-call logic for secure implementation handoffs?▼

Audit tool-call logic by applying execution policies that support regression testing of tool invocation routes. This framework allows you to verify capability boundaries and operational authority deterministically before completing secure implementation handoffs.

When do I need to configure allowed-tool sets for AI agent architectures?▼

Configure allowed-tool sets when developing new AI features that require system access, such as database routes or customer support APIs. Defining safety constraints prevents uncontrolled tool execution and manages operational authority before deployment.