Tools And Context

The tools-and-context skill enables AI agents to dynamically access external utilities and maintain awareness of their operational environment. It bridges the gap between raw model capabilities and real-world execution by managing function calls and contextual data flow.

When to use it

• Executing complex workflows: When an agent needs to chain multiple actions together, such as retrieving data and then formatting it for a report.
• Handling dynamic environments: When tasks require the agent to adapt based on changing system states or user inputs during a session.
• Integrating with external APIs: When you need the agent to interact with third-party services like calendars, databases, or web search tools.
• Enhancing reasoning depth: When simple chat responses are insufficient and the task requires structured data retrieval or tool-based verification.

Key capabilities

• Dynamic tool invocation management
• Context retention across multi-step interactions
• Structured output generation for external systems
• Error handling within tool execution pipelines

Example prompts

• "Use your available tools to check the current weather in Tokyo and then draft a travel advisory email based on that data."
• "Retrieve the latest sales figures from the database, analyze the trend, and generate a summary chart description."
• "Search for recent documentation updates on our internal wiki and summarize the changes relevant to the Q3 release."

Tips & gotchas

Ensure your agent has explicit permissions configured for the specific tools it needs to access, as context alone cannot bypass security restrictions. Be mindful of token limits when passing large amounts of contextual data alongside tool arguments.