Get example submissions for different sustainable actions
AI agents call vebetter_example_submissions to retrieve information from VeChain AI Terminal MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Even though vebetter_example_submissions 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
Get example submissions for different sustainable actions. It is categorised as a Read tool in the VeChain AI Terminal MCP Server MCP Server, which means it retrieves data without modifying state.
Register the VeChain AI Terminal MCP Server MCP server in PolicyLayer and add a rule for vebetter_example_submissions: 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 VeChain AI Terminal MCP Server. Nothing to install.
vebetter_example_submissions 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 vebetter_example_submissions 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 vebetter_example_submissions. 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.
vebetter_example_submissions is provided by the VeChain AI Terminal MCP Server MCP server (vechain-ai-terminal/vechain-terminal-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.