escalate_overdue_tasks
Trigger priority auto-escalation for overdue tasks. Tasks past their due date that are not yet urgent will have their priority bumped one level (low→medium→high→urgent). Can be called by a cron job or manually.
This record as markdown: /tools/todo-for-ai-todo-for-ai-mcp/escalate-overdue-tasks.md
What escalate_overdue_tasks does on Todo for AI MCP Server
AI agents invoke escalate_overdue_tasks to trigger actions in Todo for AI MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why escalate_overdue_tasks is rated High
escalate_overdue_tasks triggers real processes with real consequences. An agent gone sideways doesn't fire it once. It starts dozens of builds, sends mass notifications, or burns through compute before anyone looks up.
Attacks that exploit this kind of access
The rule that runs escalate_overdue_tasks safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Todo for AI MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For escalate_overdue_tasks, this is the rule to start with:
escalate_overdue_tasks stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Todo for AI MCP Server, apply this rule, and every escalate_overdue_tasks call is checked against it from then on.
Questions about escalate_overdue_tasks
Trigger priority auto-escalation for overdue tasks. Tasks past their due date that are not yet urgent will have their priority bumped one level (low→medium→high→urgent). Can be called by a cron job or manually. It is categorised as a Execute tool in the Todo for AI MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Todo for AI MCP Server MCP server in PolicyLayer and add a rule for escalate_overdue_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 Todo for AI MCP Server. Nothing to install.
escalate_overdue_tasks is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the escalate_overdue_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 escalate_overdue_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.
escalate_overdue_tasks is provided by the Todo for AI MCP Server MCP server (todo-for-ai/todo-for-ai-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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