get_workouts

get_workouts

Server FitnessMCP senoj100-alt/fitnessmcp
Category Read
Risk class Low
Parameters 00 required

What get_workouts does on FitnessMCP

AI agents call get_workouts to retrieve information from FitnessMCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why get_workouts needs a policy

The tool name 'get_workouts' strongly indicates a retrieval operation that queries workout data without modification. The absence of descriptive text reduces confidence slightly, but the 'get_' prefix and alignment with other read-only sibling tools (get_daily_nutrition, get_fasting_history, get_fasting_stats) clearly indicate this fetches data with no side effects. This poses minimal risk if misused by an AI agent.

From the tool's definition Tool name 'get_workouts' with no description provided; follows the naming pattern of sibling tools like 'cronometer_get_daily_nutrition' and 'cronometer_get_fasting_history' which are clearly read-only getters.

Questions about get_workouts

What does the get_workouts tool do? +

get_workouts. It is categorised as a Read tool in the FitnessMCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_workouts? +

Register the Fitness MCP server in PolicyLayer and add a rule for get_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 FitnessMCP. Nothing to install.

What risk level is get_workouts? +

get_workouts is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_workouts? +

Yes. Add a rate_limit block to the get_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.

How do I block get_workouts completely? +

Set action: deny in the PolicyLayer policy for get_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.

What MCP server provides get_workouts? +

get_workouts is provided by the Fitness MCP server (senoj100-alt/fitnessmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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