execute_classmethod
AI agents invoke execute_classmethod to trigger actions in Iris Execute. 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 executes ObjectScript class methods, which is code execution whose effects depend on which method is invoked and its arguments. This could trigger side effects, data modifications, or external operations. While not inherently destructive or financial, execution of untrusted or poorly-specified methods poses significant risk.
From the tool's definition Tool name 'execute_classmethod' on a server described as providing 'ObjectScript execution' capabilities. Sibling tools include 'execute_command' and 'execute_unit_tests', confirming this server's focus on code execution.
Attacks that exploit this kind of access
execute_classmethod. It is categorised as a Execute tool in the Iris Execute MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Iris Execute MCP server in PolicyLayer and add a rule for execute_classmethod: 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 Iris Execute. Nothing to install.
execute_classmethod 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 execute_classmethod 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 execute_classmethod. 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.
execute_classmethod is provided by the Iris Execute MCP server (jbrandtmse/iris-execute-mcp). 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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