AI agents invoke create_aptos_project to trigger actions in Aptos. 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 invokes the Aptos CLI to scaffold a new project, which is an external operation that runs CLI commands and creates files on the filesystem. It spans Write (creates files) and Execute (runs CLI), and Execute is the more severe category here. Misuse could create unwanted project structures or trigger unintended CLI side effects.
From the tool's definition "Create a new Aptos project using the Aptos CLI"
Attacks that exploit this kind of access
Create a new Aptos project using the Aptos CLI. It is categorised as a Execute tool in the Aptos MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Aptos MCP server in PolicyLayer and add a rule for create_aptos_project: 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 Aptos. Nothing to install.
create_aptos_project 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 create_aptos_project 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 create_aptos_project. 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.
create_aptos_project is provided by the Aptos MCP server (tlazypanda/aptos-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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