Low Risk

get_readiness_data

Get readiness data for a specific date range. Args: start_date: Start date in ISO format (YYYY-MM-DD) end_date: End date in ISO format (YYYY-MM-DD) Returns: Dictionary containing readiness data

How to control get_readiness_data ↓

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

Low Risk

This tool queries and retrieves personal health data (readiness metrics) from the Oura Ring API for a specified date range. It has no side effects, does not modify any data, and performs only a read operation. While it accesses sensitive personal health information, the tool itself is a simple data retrieval function with no destructive or executory capability.

From the tool's definition Tool description explicitly states 'Get readiness data' with date range parameters and returns a dictionary. No modification, deletion, execution, or financial operations are performed. The tool retrieves and returns health metrics data only.

Documented attack patterns abuse exactly the kind of access get_readiness_data gives an agent:

PolicyLayer is an MCP gateway — it sits between your AI agents and Oura MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for get_readiness_data:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_readiness_data": {}
  }
}

get_readiness_data is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Oura MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Go deeper

What does the get_readiness_data tool do? +

Get readiness data for a specific date range. Args: start_date: Start date in ISO format (YYYY-MM-DD) end_date: End date in ISO format (YYYY-MM-DD) Returns: Dictionary containing readiness data. It is categorised as a Read tool in the Oura MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_readiness_data? +

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

What risk level is get_readiness_data? +

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

Can I rate-limit get_readiness_data? +

Yes. Add a rate_limit block to the get_readiness_data 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 get_readiness_data completely? +

Set action: deny in the PolicyLayer policy for get_readiness_data. 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 get_readiness_data? +

get_readiness_data is provided by the Oura MCP Server MCP server (yuzehao2023/mcp-oura). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Oura MCP Server tool call.

Deterministic rules across all 6 Oura MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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6 Oura MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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