Get the workout for a specific cycle day with all exercise details: exercises, target weights, reps, RIR. If cycle_day is omitted, returns today
AI agents call get_workout_for_day 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 retrieves workout information for a given day. It performs a read-only operation with no ability to modify, delete, or execute external actions. The default behavior (returning today's workout when cycle_day is omitted) is a convenience feature that does not change the read-only nature. Severity is low as misuse would only expose fitness data, not cause harm or data loss.
From the tool's definition Tool name 'get_workout_for_day' and description 'Get the workout for a specific cycle day' clearly indicate data retrieval with no modification. Returns exercise details (exercises, target weights, reps, RIR) without side effects.
Attacks that exploit this kind of access
Get the workout for a specific cycle day with all exercise details: exercises, target weights, reps, RIR. If cycle_day is omitted, returns today. 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_workout_for_day: 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_workout_for_day 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_workout_for_day 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_workout_for_day. 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_workout_for_day 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.
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