异步延迟响应示例
AI agents use cloudflarePromise to create or update resources in Remote MCP Server on Cloudflare — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Remote MCP Server on Cloudflare environment.
An AI agent can call cloudflarePromise faster than any human can review — one bad instruction and it creates or modifies resources in Remote MCP Server on Cloudflare by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
异步延迟响应示例. It is categorised as a Write tool in the Remote MCP Server on Cloudflare MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Remote MCP Server on Cloudflare MCP server in PolicyLayer and add a rule for cloudflarePromise: 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 Remote MCP Server on Cloudflare. Nothing to install.
cloudflarePromise 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 cloudflarePromise 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 cloudflarePromise. 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.
cloudflarePromise is provided by the Remote MCP Server on Cloudflare MCP server (williamsuiself/remote-mcp). 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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