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Build, deploy, evaluate, optimize, fine-tune, and manage Microsoft Foundry agents, models, and resources end to end. USE FOR: foundry, azd ai agent, azd provision/deploy, hosted agent scaffold/develop/run/deploy/troubleshoot, prompt agent create, create agent, update agent, add tool to agent, invoke agent, agent.yaml, agent insights, pull agent insights, evaluate agent, batch eval, continuous eval, continuous monitoring, agent CI/CD, optimize prompt, improve prompt, prompt optimizer, optimize agent instructions, Agent Optimizer scaffold, dataset curation from traces, deploy model, model fine-tuning (SFT/DPO/RFT), Foundry project, RBAC, role assignment, permissions, quota, capacity, region, deployment failure, AI Services, create Foundry resource, knowledge index, customize deployment, onboard, availability, training-data, grader, distillation, large file upload. DO NOT USE FOR: Azure Functions, App Service, general Azure deploy (use azure-deploy), general Azure prep (use azure-prepare).

Use this Skill: https://skilld.dev/gh/microsoft/skills/microsoft-foundry

This session only. Nothing lands on disk.

foundry-agenttoolboxreferencestool-browser-automation.md

≈887 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Tool — Browser Automation (type: browser_automation_preview) — preview

Browser automation backed by an Azure Playwright workspace. Auth is ProjectManagedIdentity; the connection kind is PlaywrightWorkspace. For the toolbox concept, versions, and endpoint, see toolbox.md.

The tool uses the nested shape: a browser_automation_preview: { connection: { project_connection_id: ... } } object under the tool entry (not a top-level connections: array).

🚦 Before creating a toolbox/connection either way, read create-hosted.md → Toolbox creation boundary.


Prerequisite — an Azure Playwright workspace + connection

An Azure Playwright workspace must exist first (create it in the Azure portal / via the Microsoft.AzurePlaywrightService resource provider — workspace creation may be gated in some subscriptions). Then create a PlaywrightWorkspace connection on the project that points at it; the tool references that connection by project_connection_id.


A. Imperative CLI

Steps 1–3 of toolbox.md § The flow. Write the toolbox spec to a file — azd ai toolbox create --from-file takes a path (stdin - is not supported).

# 0. Install the CLI extension (once)
azd extension install azure.ai.toolboxes

# Write the toolbox spec to a file
cat > ba.yaml <<'EOF'
description: browser automation toolbox
tools:
  - type: browser_automation_preview
    name: browser
    browser_automation_preview:
      connection:
        project_connection_id: my-playwright-conn   # the PlaywrightWorkspace connection
EOF

Create a new toolbox (first version auto-promoted):

azd ai toolbox create agent-tools --from-file ba.yaml --project-endpoint "$FOUNDRY_PROJECT_ENDPOINT"

The CLI also accepts a connections: [{ name: my-playwright-conn }] alias, which it expands into the nested tool above — but the raw toolbox API accepts only the tools: shape.


B. Declarative azure.yaml

Declare the toolbox as a host: azure.ai.toolbox service in azure.yaml; azd deploy upserts it (and auto-promotes the new version). Needs only an existing Foundry project (via FOUNDRY_PROJECT_ENDPOINT + AZURE_SUBSCRIPTION_ID in the azd env) — no azd provision, no infra: block. The PlaywrightWorkspace connection must already exist (see prerequisite).

name: my-agent-project
services:
  agent-tools:
    host: azure.ai.toolbox
    tools:
      - type: browser_automation_preview
        name: browser
        browser_automation_preview:
          connection:
            project_connection_id: my-playwright-conn

  # A hosted agent in the same project consumes the toolbox by name
  my-agent:
    host: azure.ai.agent
    uses:
      - agent-tools
    environmentVariables:
      - name: TOOLBOX_NAME
        value: agent-tools
azd deploy agent-tools

Verify & deploy

After creating the toolbox either way, verify its MCP endpoint end-to-end — see test-endpoint.md. Browser automation surfaces as MCP sub-tools under your name prefix (e.g. browser___create_session, joined by three underscores). Calling them needs a working Playwright workspace + connection.


References

Source: SKILL.md on GitHub

2 warnings3d4 checks · Risk SAFE
  • Gen Agent Trust Hub3d

    This skill provides a comprehensive environment for managing the end-to-end lifecycle of AI agents, models, and infrastructure on Microsoft Foundry. It includes sub-skills for deployment, evaluation, fine-tuning, and troubleshooting. The skill utilizes dynamic code execution and shell command wrappers, which are used within the context of local development and cloud orchestration. All external resources and dependencies originate from trusted organizations and well-known services.

  • Socket3d

    2 alerts: gptSecurity, gptAnomaly

  • Snyk3d

    Risk: LOW · No issues

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    36/36 files flagged

Signed by skilld at 04110d9. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 20 hours ago.

Activeupdated last week
metadata
{
  "author": "Microsoft",
  "version": "1.2.26"
}

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