Update an existing todo item with interactive prompts
AI agents use update_todo to create or update resources in Todo MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Todo MCP Server environment.
This tool creates or modifies data in a reversible manner without deleting or destroying information, fitting the Write category. Severity is medium because misuse could corrupt or alter user data, but the effects are reversible (can be updated again).
From the tool's definition Tool name 'update_todo' and description 'Update an existing todo item' indicate modification of existing data. The term 'Update' is a classic Write operation that modifies data reversibly.
Documented attack patterns abuse exactly the kind of access update_todo gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Todo MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for update_todo:
{
"version": "1",
"default": "deny",
"tools": {
"update_todo": {
"limits": [
{
"counter": "update_todo_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}update_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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Update an existing todo item with interactive prompts. It is categorised as a Write tool in the Todo MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Todo MCP Server MCP server in PolicyLayer and add a rule for update_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 Todo MCP Server. Nothing to install.
update_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 update_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 update_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.
update_todo is provided by the Todo MCP Server MCP server (sholajegede/todo_mcp_server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Todo MCP Server, 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 Todo MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.