search_exercises

Search for exercises by name. Returns matching exercise IDs and names.

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

What search_exercises does on MusclesWorked

AI agents call search_exercises 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 search_exercises needs a policy

This tool retrieves exercise data (IDs and names) based on search input. It performs a read-only lookup against the 856-exercise dataset with no capability to modify, delete, or execute actions. No financial or destructive operations are possible. The blast radius of misuse is minimal—an agent could retrieve irrelevant exercise data but cannot cause harm.

From the tool's definition Tool name 'search_exercises' and description 'Search for exercises by name. Returns matching exercise IDs and names.' indicate a query-only operation with no side effects.

Questions about search_exercises

What does the search_exercises tool do? +

Search for exercises by name. Returns matching exercise IDs and names. 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 search_exercises? +

Register the MusclesWorked MCP server in PolicyLayer and add a rule for search_exercises: 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 search_exercises? +

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

Can I rate-limit search_exercises? +

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

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

search_exercises 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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