Executes an Apex REST request
AI agents invoke apex_execute to trigger actions in Salesforce 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.
apex_execute permits execution of arbitrary Apex code, which can have broad effects depending on the code submitted. While Apex execution itself is not inherently destructive or financial (those would require specific code), it is an Execute category tool because it runs code whose effects are argument-dependent and can trigger external operations.
From the tool's definition Tool name 'apex_execute' and description 'Executes an Apex REST request' indicate execution of arbitrary Apex code on Salesforce platform. Apex is Salesforce's proprietary programming language that can modify data, call external APIs, and perform side effects.
Attacks that exploit this kind of access
Executes an Apex REST request. It is categorised as a Execute tool in the Salesforce MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Salesforce MCP Server MCP server in PolicyLayer and add a rule for apex_execute: 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 MCP Server. Nothing to install.
apex_execute 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 apex_execute 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 apex_execute. 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.
apex_execute is provided by the Salesforce MCP Server MCP server (steffensbola/salesforce-mcp-ts). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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