This record as markdown: /tools/ruflo/todo-add.md
What todo_add does on Ruflo
AI agents use todo_add to create or update resources in Ruflo, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Ruflo environment.
Why todo_add is rated Medium
This tool creates or appends a new task entry, which is a reversible write operation. It has minimal blast radius—a misused agent could add spurious tasks, but this causes no financial harm, data destruction, or system compromise. The operation is easily reversible through deletion or list management.
From the tool's definition Tool name 'todo_add' and description 'Add a task to the todo list' indicate creation of a new data record in a todo list system.
Attacks that exploit this kind of access
The rule that runs todo_add safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Ruflo, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For todo_add, this is the rule to start with:
todo_add 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Ruflo, apply this rule, and every todo_add call is checked against it from then on.
Questions about todo_add
Add a task to the todo list. It is categorised as a Write tool in the Ruflo MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Ruflo MCP server in PolicyLayer and add a rule for todo_add: 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 Ruflo. Nothing to install.
todo_add 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 todo_add 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 todo_add. 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.
todo_add is provided by the Ruflo MCP server (ruvnet/ruflo). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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