agent-tool-integration

Expose read-only tool capabilities to agents via system-prompt injection.

Updated Mar 13, 2026
One-click install
npx skills add https://github.com/JDL440/nfl-eval --skill agent-tool-integration
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agent-tool-integration
Source: https://github.com/JDL440/nfl-eval/tree/main/.squad/skills/agent-tool-integration
Command: npx skills add https://github.com/JDL440/nfl-eval --skill agent-tool-integration

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Bridge the gap between agents and external tools by safely exposing read-only capabilities through system-prompt injection. This approach reduces the agency gap and enables informed decision-making without modifying core LLM invocation logic.

Core Features & Use Cases

  • Role-based tool allowlists to limit which tools are accessible per agent role.
  • Tool metadata injection into the system prompt to describe available tools, side effects, and example inputs.
  • Tool invocation via portable XML tags to signal tool usage across providers, with deterministic handling.
  • Local tool catalog discovery to enable agents to discover available capabilities without hardcoding tool names.
  • Use cases include fact-checking, data enrichment, and safe publishing workflows with read-only data access.

Quick Start

Enable the agent-tool-integration pattern by wiring the local tool catalog into the system prompt and start emitting <tool_use> tags for safe, read-only tools.

Frequently Asked Questions about agent-tool-integration

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

FAQPage Schema
How do I safely expose read-only tools to LLM agents?

Safely expose read-only tools to LLM agents by injecting tool metadata into the system prompt and processing tool invocation via XML tags. This restricts agent capabilities to read-only data access without modifying core LLM invocation logic.

What is the best way to restrict tool access in multi-agent workflows?

Restrict tool access in multi-agent workflows by applying a role-based tool allowlist. This pattern ensures specific agent roles only discover and invoke tools explicitly assigned to them from the local tool catalog.

How do I inject tool metadata into a system prompt for agents?

Inject tool metadata into a system prompt by describing available tools, their side effects, and example inputs directly within the prompt context. This enables agents to discover local catalog capabilities without hardcoding tool names.

Can agents signal tool invocation using XML tags across different LLM providers?

Agents can signal tool invocation using portable XML tags across different LLM providers. A post-processing tool execution handler parses these tags to deterministically execute the requested read-only tools.

Does agent-tool-integration require modifying core LLM invocation logic?

Agent-tool-integration does not require modifying core LLM invocation logic. It bridges the gap between agents and external tools entirely through system-prompt injection and post-processing tool execution handlers.

When should I not use system-prompt injection for tool integration?

Avoid system-prompt injection for tool integration when agents require write access or side-effect execution. This pattern is strictly scoped to read-only capabilities for fact-checking, data enrichment, and safe publishing workflows.