sf_create_einstein_bot
Creates a classic Einstein Bot (Bot + BotVersion metadata types) with one or more conversation dialogs. Classic Einstein Bots handle chat and messaging channels via rule-based and ML-powered conversation flows. Note: For AI-first agents using large language models, use sf_create_agent (Agentforce...
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What sf_create_einstein_bot does on Salesforce Metadata Mcp
AI agents use sf_create_einstein_bot to create or update resources in Salesforce Metadata Mcp, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Salesforce Metadata Mcp environment.
Why sf_create_einstein_bot is rated Medium
The tool creates new metadata objects (Einstein Bot and BotVersion) which modifies the Salesforce configuration state. This is reversible—bots can be deleted or reconfigured—so it falls under Write rather than Destructive.
From the tool's definition Tool name contains 'create' and description states 'Creates a classic Einstein Bot (Bot + BotVersion metadata types) with one or more conversation dialogs.' This is a metadata creation operation that generates new bot configuration objects in Salesforce.
Attacks that exploit this kind of access
The rule that runs sf_create_einstein_bot safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Salesforce Metadata Mcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For sf_create_einstein_bot, this is the rule to start with:
sf_create_einstein_bot stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Salesforce Metadata Mcp, apply this rule, and every sf_create_einstein_bot call is checked against it from then on.
Questions about sf_create_einstein_bot
Creates a classic Einstein Bot (Bot + BotVersion metadata types) with one or more conversation dialogs. Classic Einstein Bots handle chat and messaging channels via rule-based and ML-powered conversation flows. Note: For AI-first agents using large language models, use sf_create_agent (Agentforce/Einstein Service Agent) instead. Classic Einstein Bots are best suited for: - Structured FAQ automation - Simple data collection workflows - Channels that don. It is categorised as a Write tool in the Salesforce Metadata Mcp MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Salesforce Metadata MCP server in PolicyLayer and add a rule for sf_create_einstein_bot: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Salesforce Metadata Mcp. Nothing to install.
sf_create_einstein_bot is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the sf_create_einstein_bot rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for sf_create_einstein_bot. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
sf_create_einstein_bot is provided by the Salesforce Metadata MCP server (salesforce-metadata-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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