eval-expression
Evaluate ONE Luau expression on the active client and return its typeof plus an encoded value.
This record as markdown: /tools/executor-mcp-roblox/eval-expression.md
What eval-expression does on Executor Mcp Roblox
AI agents call eval-expression to retrieve information from Executor Mcp Roblox without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why eval-expression is rated Low
Even though eval-expression only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
The rule that runs eval-expression safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Executor Mcp Roblox, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For eval-expression, this is the rule to start with:
eval-expression is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Executor Mcp Roblox, apply this rule, and every eval-expression call is checked against it from then on.
Questions about eval-expression
Evaluate ONE Luau expression on the active client and return its typeof plus an encoded value. It is categorised as a Read tool in the Executor Mcp Roblox MCP Server, which means it retrieves data without modifying state.
Register the Executor Mcp Roblox MCP server in PolicyLayer and add a rule for eval-expression: 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 Executor Mcp Roblox. Nothing to install.
eval-expression 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 eval-expression 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 eval-expression. 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.
eval-expression is provided by the Executor Mcp Roblox MCP server (okenjioxx/executor-mcp-roblox). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on Executor Mcp Roblox, and thousands of servers like it.
This server
Across the catalogue