List undone tasks within a date range, optionally filtered by projects.
AI agents call dida365_list_undone_tasks to retrieve information from Dida365 Agent without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves task data for viewing purposes only. It queries existing tasks based on filters (date range, projects) without creating, modifying, deleting, or executing any actions. The read-only nature, combined with narrow scope (tasks already belonging to the user), presents minimal risk if misused—the worst outcome would be information disclosure of already-accessible data.
From the tool's definition Tool name 'list_undone_tasks' and description 'List undone tasks within a date range, optionally filtered by projects' indicate a query/retrieval operation with no modification capability.
Attacks that exploit this kind of access
List undone tasks within a date range, optionally filtered by projects. It is categorised as a Read tool in the Dida365 Agent MCP Server, which means it retrieves data without modifying state.
Register the Dida365 Agent MCP server in PolicyLayer and add a rule for dida365_list_undone_tasks: 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_list_undone_tasks is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the dida365_list_undone_tasks 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_list_undone_tasks. 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_list_undone_tasks 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 →