Chat with the AI assistant about your calendar, events, and schedule
AI agents call yaag_ai_chat to retrieve information from YearAtAGlance MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This is a conversational interface for discussing calendar data. While it accesses calendar information (implying Read operations), the tool itself does not perform CRUD operations—those are handled by sibling tools like yaag_create_event, yaag_delete_event, etc. The chat function is fundamentally a retrieval and analysis tool that returns information rather than modifying system state.
From the tool's definition Tool name 'yaag_ai_chat' and description 'Chat with the AI assistant about your calendar, events, and schedule' indicate a querying/conversation interface that retrieves and discusses calendar information without modifying data.
Attacks that exploit this kind of access
Chat with the AI assistant about your calendar, events, and schedule. It is categorised as a Read tool in the YearAtAGlance MCP Server MCP Server, which means it retrieves data without modifying state.
Register the YearAtAGlance MCP Server MCP server in PolicyLayer and add a rule for yaag_ai_chat: 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 YearAtAGlance MCP Server. Nothing to install.
yaag_ai_chat 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 yaag_ai_chat 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 yaag_ai_chat. 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.
yaag_ai_chat is provided by the YearAtAGlance MCP Server MCP server (mindfullabai/yearataglance-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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