Update an existing task in Microsoft Todo. Allows changing any properties of the task including title, due date, importance, etc.
AI agents use update-task to create or update resources in My MCP — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your My MCP environment.
This tool modifies existing data (task properties) reversibly. It does not delete data (which would be Destructive), nor does it involve financial transactions or code execution. Update operations are classified as Write.
From the tool's definition Tool description states 'Update an existing task' and 'Allows changing any properties of the task including title, due date, importance, etc.' The verb 'Update' and the capability to modify task properties indicates a reversible modification operation.
Documented attack patterns abuse exactly the kind of access update-task gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and My MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for update-task:
{
"version": "1",
"default": "deny",
"tools": {
"update-task": {
"limits": [
{
"counter": "update-task_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} update-task 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 task in Microsoft Todo. Allows changing any properties of the task including title, due date, importance, etc. It is categorised as a Write tool in the My MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the My MCP server in PolicyLayer and add a rule for update-task: 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 My MCP. Nothing to install.
update-task 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-task 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-task. 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-task is provided by the My MCP server (jordanburke/microsoft-todo-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from My MCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
16 My MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.