rag_stats

Get statistics about the indexed message database.

Server iMessage MCP Server wolfiesch/wolfies-imessage-gateway
Category Read
Risk class Low
Parameters 00 required

What rag_stats does on iMessage MCP Server

AI agents call rag_stats to retrieve information from iMessage MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why rag_stats needs a policy

Even though rag_stats only reads data, uncontrolled read access leaks sensitive information and racks up API costs — an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.

Questions about rag_stats

What does the rag_stats tool do? +

Get statistics about the indexed message database. It is categorised as a Read tool in the iMessage MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on rag_stats? +

Register the iMessage MCP Server MCP server in PolicyLayer and add a rule for rag_stats: 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 iMessage MCP Server. Nothing to install.

What risk level is rag_stats? +

rag_stats is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit rag_stats? +

Yes. Add a rate_limit block to the rag_stats 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.

How do I block rag_stats completely? +

Set action: deny in the PolicyLayer policy for rag_stats. 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.

What MCP server provides rag_stats? +

rag_stats is provided by the iMessage MCP Server MCP server (wolfiesch/wolfies-imessage-gateway). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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