List Apex classes in the organization with optional name filtering
AI agents call list_apex_classes to retrieve information from Salesforce without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves or queries metadata about Apex classes—it performs a listing/read operation with optional filtering. There are no side effects, data modifications, or irreversible actions. The sibling tools confirm the pattern: create_apex_class, delete_apex_class, and get_apex_class represent Write and Destructive operations respectively, while list_apex_classes is clearly the Read variant.
From the tool's definition Tool name 'list_apex_classes' and description 'List Apex classes in the organization with optional name filtering' indicate retrieval and enumeration of existing metadata without modification, deletion, or execution.
Documented attack patterns abuse exactly the kind of access list_apex_classes gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Salesforce, and nothing reaches the server without passing your rules. This is the rule we recommend for list_apex_classes:
{
"version": "1",
"default": "deny",
"tools": {
"list_apex_classes": {}
}
}list_apex_classes is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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List Apex classes in the organization with optional name filtering. It is categorised as a Read tool in the Salesforce MCP Server, which means it retrieves data without modifying state.
Register the Salesforce MCP server in PolicyLayer and add a rule for list_apex_classes: 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. Nothing to install.
list_apex_classes is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the list_apex_classes 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 list_apex_classes. 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.
list_apex_classes is provided by the Salesforce MCP server (ryu-727/salesforce-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Salesforce, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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25 Salesforce tools catalogued and risk-classified — across an index of 43,000+ MCP servers.