Get workout analysis: metrics, zones, laps. Saves full time-series to JSON file.
AI agents call tp_analyze_workout to retrieve information from TrainingPeaks-MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and analyzes existing workout metrics without modifying or deleting any data in TrainingPeaks. The saving of analysis results to a JSON file is a read operation output mechanism, not a write to the workout data itself. No side effects on the training data or system state occur. Severity is low because misuse would only expose existing metrics data the user already has access to.
From the tool's definition Tool description states 'Get workout analysis: metrics, zones, laps' and 'Saves full time-series to JSON file'. The primary action is retrieval and analysis of existing workout data.
Attacks that exploit this kind of access
Get workout analysis: metrics, zones, laps. Saves full time-series to JSON file. It is categorised as a Read tool in the TrainingPeaks-MCP MCP Server, which means it retrieves data without modifying state.
Register the TrainingPeaks- MCP server in PolicyLayer and add a rule for tp_analyze_workout: 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 TrainingPeaks-MCP. Nothing to install.
tp_analyze_workout 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 tp_analyze_workout 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 tp_analyze_workout. 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.
tp_analyze_workout is provided by the TrainingPeaks- MCP server (jamsusmaximus/trainingpeaks-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.
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