Get the progression trend for a specific exercise: estimated 1RM over time, weight, reps.
AI agents call get_exercise_progress 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 retrieves historical progression data (estimated 1-rep max, weight, and reps) for a specific exercise. It is purely informational—querying existing fitness metrics without creating, modifying, deleting, or executing any actions. The lowest blast radius applies: misuse would at most expose workout data already owned by the user.
From the tool's definition Tool name 'get_exercise_progress' and description 'Get the progression trend for a specific exercise: estimated 1RM over time, weight, reps' indicate data retrieval with no modification or side effects.
Attacks that exploit this kind of access
Get the progression trend for a specific exercise: estimated 1RM over time, weight, reps. 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_exercise_progress: 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_exercise_progress 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_exercise_progress 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_exercise_progress. 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_exercise_progress 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.
get_exercise_progress is one line of Arvo MCP Server's registry record.
The record carries the whole server: verified identity, auth posture, risk grade, every tool classified, recommended policy — re-checked continuously.
Teams ship this data inside their own products. See what a licence covers →