skip_exercise

Skip an exercise in today

Server Arvo MCP Server khaoss85/arvo-mcp
Category Write
Risk class Medium
Parameters 00 required

What skip_exercise does on Arvo MCP Server

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

Why skip_exercise needs a policy

Skipping an exercise modifies the state of today's workout session. While it may be reversible (the exercise could potentially be un-skipped or the session reset), it is a write/modification action rather than a destructive or irreversible one. Misuse could cause an AI agent to skip exercises the user intended to complete, disrupting their training plan.

From the tool's definition 'Skip an exercise in today' — modifies the current workout session by skipping (removing or marking as skipped) an exercise

Questions about skip_exercise

What does the skip_exercise tool do? +

Skip an exercise in today. It is categorised as a Write tool in the Arvo MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on skip_exercise? +

Register the Arvo MCP Server MCP server in PolicyLayer and add a rule for skip_exercise: 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 Arvo MCP Server. Nothing to install.

What risk level is skip_exercise? +

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

Can I rate-limit skip_exercise? +

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

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

skip_exercise is provided by the Arvo MCP Server MCP server (khaoss85/arvo-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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