search_muscles

Search for muscles by name. Returns matching muscle IDs and names.

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

What search_muscles does on MusclesWorked

AI agents call search_muscles 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_muscles needs a policy

This tool searches a static database of muscles and returns matching results. It performs a read-only query with no ability to modify, delete, or execute external operations. The blast radius of misuse is minimal—an agent could only retrieve irrelevant muscle data, which has no harmful consequences.

From the tool's definition Tool name 'search_muscles' and description 'Search for muscles by name. Returns matching muscle IDs and names.' indicate a query/retrieval operation with no side effects.

Questions about search_muscles

What does the search_muscles tool do? +

Search for muscles by name. Returns matching muscle 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_muscles? +

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

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

Can I rate-limit search_muscles? +

Yes. Add a rate_limit block to the search_muscles 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_muscles completely? +

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

search_muscles 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.

// LOOK UP ANOTHER SERVER

Every MCP server has a record like this.

Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.

Teams ship this data inside their own products. See what a licence covers →

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.