Undo a habit checkin for a specific date.
AI agents use dida365_undo_checkin to create or update resources in Dida365 Agent — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Dida365 Agent environment.
This tool modifies user data (habit check-in records) but the change is reversible—the user can check in again. It does not delete data permanently (would be Destructive) nor does it execute arbitrary code or trigger side effects (would be Execute). The modification scope is limited to a single habit record for a specific date.
From the tool's definition Tool name 'dida365_undo_checkin' and description 'Undo a habit checkin for a specific date' indicate a reversal of a prior action—unchecking a habit completion record. This modifies existing habit tracking data.
Attacks that exploit this kind of access
Undo a habit checkin for a specific date. It is categorised as a Write tool in the Dida365 Agent MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Dida365 Agent MCP server in PolicyLayer and add a rule for dida365_undo_checkin: 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 Dida365 Agent. Nothing to install.
dida365_undo_checkin 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 dida365_undo_checkin 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 dida365_undo_checkin. 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.
dida365_undo_checkin is provided by the Dida365 Agent MCP server (linhai0872/dida365-agent). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
Teams ship this data inside their own products. See what a licence covers →