Run Apex tests in a Salesforce Org from a project. This command allows you to execute unit tests with various options including test level, specific classes, suites, and code coverage collection. Tests can be run synchronously or asynchronously. Use this to validate your Apex code and ensure prop...
AI agents invoke run_apex_tests to trigger actions in Salesforce CLI 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 triggers execution of code (Apex tests) in an external system (Salesforce org) based on user-supplied arguments (test level, classes, suites). While tests are typically read-only validation operations, the blast radius is high because: (1) tests can have side effects within the org (modify test data, trigger workflows, call external services), (2) a malicious or misconfigured test suite could corrupt…
From the tool's definition Tool executes Apex unit tests in a Salesforce organization via CLI, with options for test level, specific classes, suites, and code coverage collection.
Attacks that exploit this kind of access
Run Apex tests in a Salesforce Org from a project. This command allows you to execute unit tests with various options including test level, specific classes, suites, and code coverage collection. Tests can be run synchronously or asynchronously. Use this to validate your Apex code and ensure proper test coverage. It is categorised as a Execute tool in the Salesforce CLI MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Salesforce CLI MCP Server MCP server in PolicyLayer and add a rule for run_apex_tests: 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 CLI MCP Server. Nothing to install.
run_apex_tests 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 run_apex_tests 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 run_apex_tests. 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.
run_apex_tests is provided by the Salesforce CLI MCP Server MCP server (perrynet/salesforce-cli-mcp-server). 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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