Complete full conversation flow with Agentforce - authenticate, create session, and send message.
AI agents invoke complete_agentforce_conversation to trigger actions in Agentforce MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
This tool orchestrates multiple external operations: authentication, session creation, and message sending to a Salesforce Agentforce agent. It triggers a chain of external API interactions whose effects depend entirely on the message content passed as arguments.
From the tool's definition Complete full conversation flow with Agentforce - authenticate, create session, and send message
Documented attack patterns abuse exactly the kind of access complete_agentforce_conversation gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Agentforce MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for complete_agentforce_conversation:
{
"version": "1",
"default": "deny",
"tools": {
"complete_agentforce_conversation": {
"limits": [
{
"counter": "complete_agentforce_conversation_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}complete_agentforce_conversation stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Complete full conversation flow with Agentforce - authenticate, create session, and send message. It is categorised as a Execute tool in the Agentforce MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Agentforce MCP Server MCP server in PolicyLayer and add a rule for complete_agentforce_conversation: 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 Agentforce MCP Server. Nothing to install.
complete_agentforce_conversation is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the complete_agentforce_conversation 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 complete_agentforce_conversation. 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.
complete_agentforce_conversation is provided by the Agentforce MCP Server MCP server (xlengelle-sf/agentforce-mcp-xlengelle). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Agentforce MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
5 Agentforce MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.