analyze_workout

Analyze a workout for muscle coverage, gaps, and imbalances.

Server MusclesWorked musclesworked-mcp
Category Read
Risk class Low
Parameters 00 required

What analyze_workout does on MusclesWorked

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

Why analyze_workout needs a policy

This tool reads workout data and performs computational analysis to identify patterns and gaps. It retrieves information about muscle coverage and returns analytical insights, which is characteristic of a Read category tool. There are no indications of data modification, code execution, deletion, or financial operations.

From the tool's definition The tool 'analyze_workout' performs analysis and assessment of workout data. The server description indicates it provides 'workout analysis' functionality.

Questions about analyze_workout

What does the analyze_workout tool do? +

Analyze a workout for muscle coverage, gaps, and imbalances. It is categorised as a Read tool in the MusclesWorked MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on analyze_workout? +

Register the MusclesWorked MCP server in PolicyLayer and add a rule for analyze_workout: 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 MusclesWorked. Nothing to install.

What risk level is analyze_workout? +

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

Can I rate-limit analyze_workout? +

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

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

analyze_workout is provided by the MusclesWorked MCP server (musclesworked-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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