Tools

Description

The Tools tab allows you to expand (or limit) what a mentorAI can do by toggling optional capabilities—such as live Web Search, MCP data connections, Code Interpreter, Image Generation, Screen Share, and more. By enabling the right tools for each mentor, you tailor its powers to the course’s needs while keeping the interface uncluttered for learners.

Target Audience

Instructor

Features

Default Tools (Always On)

Web Search – queries the live internet for up‑to‑date information
MCP – connects to MCP server endpoints for proprietary data

Optional Tool Toggles (examples)

Code Interpreter – run Python code and display graphs
Image Generation – create custom visuals from text prompts
Screen Share – let the mentor view a shared browser tab for step‑by‑step guidance
Human Support – in‑chat ticket creation for extra help

Instant Activation & Deactivation

Flip a switch to grant or revoke tool access—changes apply immediately

Per‑Mentor Customization

Each mentor can have a unique tool set, optimizing capability without overwhelming students

How to Use (step by step)

Open the Tools Tab

Click the mentor’s name at the top of the chat
From the dropdown, select Tools

Review Default Tools

Note that Web Search and MCP are enabled by default

Enable or Disable Tools

Locate a tool’s toggle switch
On → tool becomes available to learners immediately
Off → tool disappears from the mentor’s capabilities

Test a Newly Enabled Tool (Web Search examples)

Ask in chat:

“Search the web for current stock prices of Nvidia.”
“What are the latest AI tools released this month?”
“Who is the current president of Mexico?”
“What’s the latest guidance on FA deadlines?”
“Compare tuition fees for online bachelor’s degrees in 2025.”
Confirm the mentor returns up‑to‑date answers

Adjust as Needed

Toggle additional tools on or off anytime to suit changing course requirements

Pedagogical Use Cases

Current‑Events Assignments

Keep Web Search on so students can research live data (stock prices, policy changes) within the chat.

Domain‑Specific Integrations

Use MCP to pull proprietary datasets—e.g., hospital records for nursing courses—without exposing raw files to students.

STEM Visualization

Enable Code Interpreter for math or data‑science mentors so learners can see plots of integrals, histograms, or regressions instantly.

Creative Projects

Turn on Image Generation for design classes, letting students prototype visuals directly in chat.

Live Troubleshooting

Activate Screen Share when learners need real‑time, context‑aware guidance on complex software or lab simulations.

By selecting the right combination of tools, you empower each mentorAI to deliver exactly the functionality your learners need—no more, no less.