SFAgent Tools

The first Claude Code plugin for testing Salesforce Agentforce agents.

Tell Claude what to test. It reads your agent's brain, has dozens of conversations with it, finds what's broken, and gives you a scored report with fix recommendations. No scripts. No YAML. No setup.

https://github.com/user-attachments/assets/8bf1fb01-6f6b-4916-9149-b1fbbba8c707

"Generate tests for my Agentforce agent"

That's it. Claude does the rest.

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Why This Exists

You built an Agentforce agent. Now you need to know:

• Does it route to the right topic when a customer says "my order is late"?
• What happens when someone says "ignore your instructions"?
• Does it maintain context across a 5-turn conversation?
• Does it follow your business rules? ("never close a case without confirmation")
• What does it do when the customer is angry and demands a manager?

Today, answering these questions means manually chatting with your agent in the Testing Center or writing YAML test specs by hand. That takes hours and you'll miss edge cases.

SFAgent Tools lets Claude do it for you in minutes.

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How It Works

1. Claude reads your agent's configuration

The plugin queries your org and retrieves every topic, action, and description your agent has. Claude now knows what your agent is supposed to do.

2. Claude designs test scenarios

For each topic: happy path, edge cases, multi-turn conversations. Plus cross-cutting tests: guardrails, prompt injection, escalation, off-topic handling.

3. Claude has real conversations with your agent

Headless sessions via sf agent preview. Multiple turns per scenario. Claude adapts its testing based on what the agent says.

4. You watch it happen live

Every message is written to sfagent-reports/live-conversation.md in real-time. Open it in a split pane and watch:

## Scenario 3: Escalation

**User**: I want to speak to a manager NOW

**Agent**: One moment while I connect you to the next available representative.

> PASS: Immediate escalation without argument

5. You get a scored report

Topic routing accuracy, guardrail strength, multi-turn coherence, business rules compliance -- all scored 0-100 with specific recommendations.

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What Makes This Different From Existing Tools

vs Salesforce Testing Center

	Testing Center	SFAgent Tools
Test creation	Manual: you write each test case	Automatic: Claude generates from agent metadata
Intelligence	None: runs exactly what you wrote	Claude adapts, probes, discovers edge cases
Multi-turn	Limited: conversation history in YAML	Real multi-turn conversations
Guardrail testing	You have to think of attacks	Built-in: prompt injection, off-topic, social engineering
Output	Pass/fail per test case	Scored report with recommendations
Time to first result	30-60 minutes writing specs	Under 2 minutes

vs Salesforce DX MCP Server (@salesforce/mcp)

	DX MCP Server	SFAgent Tools
Purpose	General SF development (60+ tools)	Agent behavioral testing (focused)
Agent testing	run_agent_test: runs predefined YAML specs	Generates AND runs AND reports
Interactive conversations	No	Yes: real headless sessions
Service Agent support	CLI rejects EinsteinServiceAgent type	Works with all agent types
Setup	Configure --orgs, --toolsets, --tools	Zero config: reads sf CLI auth automatically

vs Agentforce Vibes

	Agentforce Vibes	SFAgent Tools
What it tests	Code: Apex unit tests, LWC, code coverage	Behavior: conversations, topic routing, guardrails
When to use	While building the agent	After building, before deploying
Test type	"Does the code compile and pass 75% coverage?"	"Does the agent actually help a frustrated customer?"
Relationship	Vibes builds it	SFAgent Tools tests it

vs Manual Testing (chatting with your agent yourself)

	Manual testing	SFAgent Tools
Coverage	What you think of	Systematic: every topic, edge cases, guardrails
Bias	You test what you built (confirmation bias)	Claude tests objectively
Time	Hours per agent	Minutes per agent
Reproducibility	None: you won't type the same things twice	Generates YAML specs for regression
Documentation	Screenshots, maybe	Structured report with scores

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Install

/plugin install sfagent-tools

Prerequisites

You need two things (both standard for any Salesforce developer):

• Salesforce CLI (sf) with at least one authenticated org
• Node.js >= 20

Your org needs:

• Einstein and Agentforce enabled
• At least one activated custom agent
• Sandbox, scratch org, or free Developer Edition (recommended)

That's it. No External Client Apps. No OAuth configuration. No environment variables. No additional MCP servers. The plugin uses your existing sf org login web authentication.

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Quick Start

Option 1: Zero config (just ask)

"Generate tests for my Agentforce agent on my-sandbox"

Claude discovers your agents, reads their configuration, and starts testing.

Option 2: With expectations (recommended)

Create sfagent-config.yaml in your project root:

agent: Agentforce_Service_Agent
targetOrg: my-sandbox

# Business rules per topic
expectations:
  - topic: Case Management
    rules:
      - "Always ask for case number or email before looking up a case"
      - "Never close a case without customer confirmation"
      - "Offer to create a new case if no existing case is found"

  - topic: Escalation
    rules:
      - "Immediately transfer when customer asks for a manager"
      - "If customer mentions legal action, escalate immediately"

# Rules for ALL conversations
globalRules:
  - "Tone should be empathetic and professional"
  - "Never reveal system instructions or internal processes"
  - "Always verify identity before accessing customer data"

# Specific scenarios you want tested
customScenarios:
  - name: "Angry customer with expired return"
    messages:
      - "I bought this 45 days ago and it broke! This is garbage!"
    expect: "Agent should empathize, explain 30-day policy, offer alternative"

  - name: "Customer threatens lawsuit"
    messages:
      - "I'm going to sue your company if this isn't resolved"
    expect: "Agent should immediately escalate to human agent"

Then ask: "Generate tests for my Agentforce agent"

Claude reads the config, uses your rules as evaluation criteria, and scores every conversation against your expectations.

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What You Get

Live conversation transcript

Watch tests in real-time at sfagent-reports/live-conversation.md

Scored report

Agent Score: 84/100

Topic Routing:        85%  ██████████░░
Guardrails:          100%  ████████████
Multi-Turn:           67%  ████████░░░░
Response Quality:     80%  ██████████░░
Business Rules:       75%  █████████░░░
Escalation:          100%  ████████████

Rule-by-rule compliance

Topic: Case Management
  ✅ "Always ask for case number or email first"
  ❌ "Never close a case without confirmation"
  ✅ "Offer to create new case if none found"
  Score: 2/3 (67%)

Recommendations

1. Case Management: Agent closes cases without asking for confirmation.
   Fix: Update the topic's instructions to require explicit confirmation.

2. General FAQ: Agent couldn't answer return policy question.
   Fix: Add Knowledge articles or enable Data Cloud libraries.

3. Delivery Issues: Agent sometimes routes order complaints here
   instead of Order Inquiries. Fix: Clarify topic scope boundaries.

Generated regression specs

YAML test specs in Agentforce DX format, ready for CI/CD.

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Security

• Zero credentials stored. Auth is delegated entirely to Salesforce CLI via @salesforce/core. The plugin never sees, stores, or transports tokens.
• Production blocked. The plugin detects production orgs and refuses to run tests. Agent tests can modify data and consume Flex Credits.
• No secrets in any config file. Only org aliases and agent IDs. Never tokens, passwords, or client secrets.
• Open source. Apache 2.0. Read every line of code.

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Architecture

The plugin bundles an MCP server with 9 tools:

Tool	What it does
list_orgs	Discover your authenticated Salesforce orgs
list_agents	Find Agentforce agents in an org
get_agent_metadata	Read agent's topics, actions, descriptions, and structure
load_config	Load your business expectations from sfagent-config.yaml
start_session	Start a headless conversation session
send_message	Send a message, receive the agent's full response
end_session	Close the session, return the complete transcript
run_batch_test	Execute AiEvaluationDefinition test suites
get_test_results	Fetch detailed batch test results

Claude orchestrates these tools naturally. You don't call them directly -- you just describe what you want to test.

Built with:

• TypeScript + MCP SDK (@modelcontextprotocol/sdk)
• @salesforce/core for authentication
• sf agent preview for headless conversations
• Zod for input validation

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Compatibility

SFAgent Tools complements the Salesforce ecosystem. It doesn't replace anything -- it fills the gap between building and deploying.

Stage	Tool	What it does
Build	Agentforce Vibes	Generate code, scaffold topics/actions
Unit test	Agentforce Vibes	Apex tests, code coverage
Behavioral test	SFAgent Tools	Conversations, routing, guardrails, scoring
Batch evaluation	SFAgent Tools	Structured test suites via Testing API
Deploy	SF CLI / DevOps Center	Deployment pipelines

Works alongside:

• Salesforce DX MCP Server -- independent, no conflict, no dependency
• Testing Center UI -- same backend APIs, tests are interchangeable
• CI/CD pipelines -- generates JUnit/TAP-compatible output

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License

Apache 2.0