AI agents call week_agenda 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 fetches and displays task scheduling data for a specified time window without creating, modifying, deleting, or executing any actions. It is a straightforward data retrieval operation with no blast radius if misused by an AI agent, as it cannot alter state or trigger external operations.
From the tool's definition Tool description states 'Return scheduled items' — a retrieval operation with no modification or side effects. The verb 'Return' and use case of reading a calendar agenda confirm this is a query-only function.
Attacks that exploit this kind of access
Return scheduled items for a local multi-day window (default: 7 days). 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 week_agenda: 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.
week_agenda 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 week_agenda 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 week_agenda. 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.
week_agenda 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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