AI agents use addTodo to create or update resources in Cloudflare MCP — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Cloudflare MCP environment.
This tool creates a new todo item, which is a reversible write operation. It modifies data by adding an entry but does not delete, execute external commands, or move money. The blast radius is minimal—a misused tool could only add unwanted todos, which can be easily removed.
From the tool's definition Tool name 'addTodo' and description 'Add a new task to your todo list' indicate creation of new data in a todo list.
Documented attack patterns abuse exactly the kind of access addTodo gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Cloudflare MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for addTodo:
{
"version": "1",
"default": "deny",
"tools": {
"addTodo": {
"limits": [
{
"counter": "addtodo_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} addTodo stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
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Add a new task to your todo list. It is categorised as a Write tool in the Cloudflare MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Cloudflare MCP server in PolicyLayer and add a rule for addTodo: 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 Cloudflare MCP. Nothing to install.
addTodo 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 addTodo 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 addTodo. 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.
addTodo is provided by the Cloudflare MCP server (shashankboosi/cloudflare-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Cloudflare MCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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7 Cloudflare MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.