20 tools. 10 can modify or destroy data without limits.
1 destructive tool with no built-in limits. Policy required.
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Destructive tools (deleteSchedule) permanently delete resources. There is no undo. An agent calling these in a retry loop causes irreversible damage.
Write operations (addRemoteMcpServer, memory_write, scheduleDeployment) modify state. Without rate limits, an agent can make hundreds of changes in seconds — faster than any human can review or revert.
Execute tools (asyncExecuteCode, deployCode, executeCode) trigger processes with side effects. Builds, notifications, workflows — all fired without throttling.
Intercept sits between your agent and DataGen. Every tool call checked against your policy before it executes — so your agent can do its job without breaking things.
npx -y @policylayer/intercept scan -- npx -y @kuoyusheng/datagendev deleteSchedule:
rules:
- action: deny Destructive tools should never be available to autonomous agents without human approval.
addRemoteMcpServer:
rules:
- rate_limit: 30/hour Prevents bulk unintended modifications from agents caught in loops.
checkCodeExecStatus:
rules:
- rate_limit: 60/minute Controls API costs and prevents retry loops from exhausting upstream rate limits.
Yes. The DataGen server exposes 1 destructive tools including deleteSchedule. These permanently remove resources with no undo. Intercept blocks destructive tools by default so they never reach the upstream server.
The DataGen server has 5 write tools including addRemoteMcpServer, memory_write, scheduleDeployment. Set rate limits in your policy file -- for example, rate_limit: 10/hour prevents an agent from making more than 10 modifications per hour. Intercept enforces this at the transport layer.
20 tools across 4 categories: Destructive, Execute, Read, Write. 10 are read-only. 10 can modify, create, or delete data.
One line change. Instead of running the DataGen server directly, prefix it with Intercept: intercept -c kuoyusheng-datagendev.yaml -- npx -y @kuoyusheng/datagendev. Download a pre-built policy from policylayer.com/policies/kuoyusheng-datagendev and adjust the limits to match your use case.
Starter policies available for each. Same risk classification, same one-command setup.
Set budgets, approvals, and hard limits across MCP servers.
npx -y @policylayer/intercept init