AI agents use Add-Todo to create or update resources in Todos — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Todos environment.
Adding a todo creates new data that is reversible (the task can be updated or deleted later). This is a Write operation, not Destructive. The blast radius is low because creating a task has no side effects beyond adding an entry to a todo list—it cannot compromise other systems or cause financial harm.
From the tool's definition Tool name 'Add-Todo' and description 'Add a todo' indicate creation of new task data. The server description confirms this tool 'create[s]...tasks through natural language.'
Documented attack patterns abuse exactly the kind of access Add-Todo gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Todos, and nothing reaches the server without passing your rules. This is the rule we recommend for Add-Todo:
{
"version": "1",
"default": "deny",
"tools": {
"Add-Todo": {
"limits": [
{
"counter": "add-todo_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}Add-Todo 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 todo. It is categorised as a Write tool in the Todos MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Todos MCP server in PolicyLayer and add a rule for Add-Todo: 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 Todos. Nothing to install.
Add-Todo 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 Add-Todo 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 Add-Todo. 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.
Add-Todo is provided by the Todos MCP server (tomelliot/todos-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Todos, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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11 Todos tools catalogued and risk-classified — across an index of 43,000+ MCP servers.