tp_schedule_library_workout · TrainingPeaks- MCP

WHAT IT DOES

What tp_schedule_library_workout does on TrainingPeaks-MCP

AI agents use tp_schedule_library_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 IT NEEDS A POLICY

Why tp_schedule_library_workout needs a policy

This tool creates new calendar entries by scheduling workouts. This is a Write operation (creates data reversibly) rather than Read (it modifies state), Execute (it doesn't run arbitrary code), or Destructive (scheduling can be undone by unscheduling).

From the tool's definition Tool description states 'Schedule a library template to a calendar date' - this creates or modifies calendar entries by scheduling workouts, which are reversible changes to the user's training plan.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

tp_schedule_library_workout Rate-limited

tp_schedule_library_workout stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "tp_schedule_library_workout": {
      "limits": [
        {
          "counter": "tp_schedule_library_workout_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches TrainingPeaks-MCP, so you can run agents against it safely.

FAQ

Questions about tp_schedule_library_workout

What does the tp_schedule_library_workout tool do? +

Schedule a library template to a calendar date. 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_schedule_library_workout? +

Register the TrainingPeaks- MCP server in PolicyLayer and add a rule for tp_schedule_library_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_schedule_library_workout? +

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

Can I rate-limit tp_schedule_library_workout? +

Yes. Add a rate_limit block to the tp_schedule_library_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_schedule_library_workout completely? +

Set action: deny in the PolicyLayer policy for tp_schedule_library_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_schedule_library_workout? +

tp_schedule_library_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.