schedule_workout

schedule_workout

Server Garmin MCP Server for Poke theol0403/garmin-mcp-poke
Category Write
Risk class Medium
Parameters 00 required

What schedule_workout does on Garmin MCP Server for Poke

AI agents use schedule_workout to create or update resources in Garmin MCP Server for Poke — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Garmin MCP Server for Poke environment.

Why schedule_workout needs a policy

The tool name 'schedule_workout' most directly implies creating or modifying a workout schedule within Garmin Connect—a reversible write operation. While the empty description reduces confidence slightly, the context of sibling write tools (add_*) and the server's stated purpose of 'tracking activities, health metrics, and training data' confirms this is a write operation.

From the tool's definition Tool name 'schedule_workout' indicates creation/modification of workout schedule data. Sibling tools on this server include 'add_body_composition', 'add_hydration_data', 'add_weigh_in', and 'download_workout', establishing the pattern of write operations that…

Questions about schedule_workout

What does the schedule_workout tool do? +

schedule_workout. It is categorised as a Write tool in the Garmin MCP Server for Poke MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on schedule_workout? +

Register the Garmin MCP Server for Poke MCP server in PolicyLayer and add a rule for schedule_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 Garmin MCP Server for Poke. Nothing to install.

What risk level is schedule_workout? +

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

Can I rate-limit schedule_workout? +

Yes. Add a rate_limit block to the schedule_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 schedule_workout completely? +

Set action: deny in the PolicyLayer policy for schedule_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 schedule_workout? +

schedule_workout is provided by the Garmin MCP Server for Poke MCP server (theol0403/garmin-mcp-poke). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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