Assess current training readiness with workout intensity recommendations based on Whoop recovery.
AI agents call get_training_readiness to retrieve information from Health MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries health/fitness data (Whoop recovery metrics) and provides analysis/recommendations. It has no side effects—it does not create, modify, delete, execute commands, or move money. It aligns with Read category tools like the sibling 'get_recovery_score' and 'get_health_overview' on the same server.
From the tool's definition Tool name 'get_training_readiness' and description 'Assess current training readiness...based on Whoop recovery' indicate data retrieval and analysis.
Attacks that exploit this kind of access
Assess current training readiness with workout intensity recommendations based on Whoop recovery. It is categorised as a Read tool in the Health MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Health MCP Server MCP server in PolicyLayer and add a rule for get_training_readiness: 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 Health MCP Server. Nothing to install.
get_training_readiness 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 get_training_readiness 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 get_training_readiness. 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.
get_training_readiness is provided by the Health MCP Server MCP server (marholoubek/health_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.
Teams ship this data inside their own products. See what a licence covers →