Mark a task as done
AI agents use dooray_set_task_done to create or update resources in Dooray MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Dooray MCP Server environment.
This tool modifies task state reversibly—a task marked as done can typically be unmarked or reopened in task management systems. It does not delete data (would be Destructive) or execute arbitrary code (would be Execute).
From the tool's definition Tool name 'dooray_set_task_done' indicates marking/updating task status to completed. Description states 'Mark a task as done', which is a state modification operation.
Attacks that exploit this kind of access
Mark a task as done. It is categorised as a Write tool in the Dooray MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Dooray MCP Server MCP server in PolicyLayer and add a rule for dooray_set_task_done: 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 Dooray MCP Server. Nothing to install.
dooray_set_task_done 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 dooray_set_task_done 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 dooray_set_task_done. 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.
dooray_set_task_done is provided by the Dooray MCP Server MCP server (kwanok/dooray-mcp). 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.
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