AI agents call get_training_readiness to retrieve information from Garmin without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and returns health/fitness metrics from Garmin Connect 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 only exposes personal health data already accessible to the user.
From the tool's definition Tool name and description indicate data retrieval only: 'get_training_readiness' retrieves a 'daily training readiness score' with 'contributing factors.' Server description explicitly states tools are 'read-only' with no modification or side effects.
Attacks that exploit this kind of access
Daily training readiness score (0-100) with contributing factors. It is categorised as a Read tool in the Garmin MCP Server, which means it retrieves data without modifying state.
Register the Garmin 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 Garmin. 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 Garmin MCP server (tyler-irving/garmin-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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