Authenticate with the Agentforce API and store the token.
AI agents use authenticate to create or update resources in Agentforce MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Agentforce MCP Server environment.
This tool performs authentication and stores a token, which implies a write/side-effect action (persisting credentials or session state). It is not purely read-only since it stores the resulting token. It does not execute code, delete data, or involve financial transactions. Severity is medium because misuse could lead to unauthorized session establishment or token exposure.
From the tool's definition Authenticate with the Agentforce API and store the token
Documented attack patterns abuse exactly the kind of access authenticate 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 authenticate:
{
"version": "1",
"default": "deny",
"tools": {
"authenticate": {
"limits": [
{
"counter": "authenticate_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}authenticate 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.
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Authenticate with the Agentforce API and store the token. It is categorised as a Write tool in the Agentforce MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Agentforce MCP Server MCP server in PolicyLayer and add a rule for authenticate: 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.
authenticate 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 authenticate 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 authenticate. 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.
authenticate 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.