tp_get_peaks

Get top performances by type. For comparing PRs over time.

Server TrainingPeaks-MCP jamsusmaximus/trainingpeaks-mcp
Category Read
Risk class Low
Parameters 00 required

What tp_get_peaks does on TrainingPeaks-MCP

AI agents call tp_get_peaks 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.

Why tp_get_peaks needs a policy

This tool retrieves and queries fitness performance metrics (personal records/peaks) for analysis and comparison purposes. It has no side effects—it does not create, modify, delete, or execute external operations. It falls squarely into the Read category as a data retrieval function.

From the tool's definition Tool name 'tp_get_peaks' and description 'Get top performances by type. For comparing PRs over time' indicate a retrieval operation that queries historical performance data without modifying or deleting anything.

Questions about tp_get_peaks

What does the tp_get_peaks tool do? +

Get top performances by type. For comparing PRs over time. It is categorised as a Read tool in the TrainingPeaks-MCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on tp_get_peaks? +

Register the TrainingPeaks- MCP server in PolicyLayer and add a rule for tp_get_peaks: 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.

What risk level is tp_get_peaks? +

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

Can I rate-limit tp_get_peaks? +

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

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

tp_get_peaks 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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