Get the most recent completed workouts with stats including duration, volume, sets, mental readiness, and exercises.
AI agents call get_recent_workouts to retrieve information from Arvo MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and returns historical workout statistics without modifying, deleting, or executing any operations. It is purely informational and poses minimal risk if misused by an AI agent, as it only exposes the user's own fitness tracking data.
From the tool's definition The tool 'get_recent_workouts' retrieves completed workout data including duration, volume, sets, mental readiness, and exercises. The verb 'get' and description 'retrieves' indicate a read-only query operation with no side effects.
Attacks that exploit this kind of access
Get the most recent completed workouts with stats including duration, volume, sets, mental readiness, and exercises. It is categorised as a Read tool in the Arvo MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Arvo MCP Server MCP server in PolicyLayer and add a rule for get_recent_workouts: 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.
get_recent_workouts is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_recent_workouts 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.
Set action: deny in the PolicyLayer policy for get_recent_workouts. 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.
get_recent_workouts 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.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
Teams ship this data inside their own products. See what a licence covers →