Copy a workout to a new date. Copies structure, description, planned fields.
AI agents use tp_copy_workout to create or update resources in TrainingPeaks-MCP — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your TrainingPeaks-MCP environment.
This tool creates new workout records by copying an existing workout's structure and metadata to a new date. This is a data creation operation (Write category), not destructive since the original workout remains and the new one can be deleted.
From the tool's definition The tool description states it 'Copy[ies] a workout to a new date' and copies 'structure, description, planned fields.' This creates new workout data by duplicating an existing workout to a different date, which is a write operation that creates new data…
Attacks that exploit this kind of access
Copy a workout to a new date. Copies structure, description, planned fields. It is categorised as a Write tool in the TrainingPeaks-MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the TrainingPeaks- MCP server in PolicyLayer and add a rule for tp_copy_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_copy_workout is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the tp_copy_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_copy_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_copy_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.
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