AI agents use project_create to create or update resources in XLMCP — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your XLMCP environment.
An AI agent can call project_create faster than any human can review — one bad instruction and it creates or modifies resources in XLMCP by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
project_create. It is categorised as a Write tool in the XLMCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the XL MCP server in PolicyLayer and add a rule for project_create: 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 XLMCP. Nothing to install.
project_create is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the project_create 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 project_create. 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.
project_create is provided by the XL MCP server (xlydiansoftware/aix). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.