tp_pair_workout

Pair a completed workout with a planned workout. Attaches the

Server TrainingPeaks-MCP jamsusmaximus/trainingpeaks-mcp
Category Write
Risk class Medium
Parameters 00 required

What tp_pair_workout does on TrainingPeaks-MCP

AI agents use tp_pair_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.

Why tp_pair_workout needs a policy

This tool creates an association/link between two existing records (a completed workout and a planned workout). It modifies data by creating a relationship, which is reversible (can be unpaired), placing it in the Write category. The description is truncated, slightly lowering confidence, but the core action is clearly a data modification operation.

From the tool's definition Pair a completed workout with a planned workout. Attaches the

Questions about tp_pair_workout

What does the tp_pair_workout tool do? +

Pair a completed workout with a planned workout. Attaches the. 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.

How do I enforce a policy on tp_pair_workout? +

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

What risk level is tp_pair_workout? +

tp_pair_workout is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit tp_pair_workout? +

Yes. Add a rate_limit block to the tp_pair_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.

How do I block tp_pair_workout completely? +

Set action: deny in the PolicyLayer policy for tp_pair_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.

What MCP server provides tp_pair_workout? +

tp_pair_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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