AI agents call overdue_tasks to retrieve information from Tick without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and retrieves task data based on a temporal condition (past due dates). It performs no mutations, executions, deletions, or financial operations. The verb 'Return' confirms it is a read-only retrieval operation. Blast radius is minimal—an AI misuse would only expose task information the user already owns.
From the tool's definition Tool name 'overdue_tasks' and description 'Return active tasks whose due date is already in the past' indicate a retrieval operation with no modification or side effects.
Attacks that exploit this kind of access
Return active tasks whose due date is already in the past. It is categorised as a Read tool in the Tick MCP Server, which means it retrieves data without modifying state.
Register the Tick MCP server in PolicyLayer and add a rule for 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 Tick. Nothing to install.
overdue_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 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 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.
overdue_tasks is provided by the Tick MCP server (kpihx/tick-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.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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