get_training_suggestions

Get AI-powered training suggestions based on recent activities and performance

Server Garmin MCP Server j4sun/garmin-mcp
Category Read
Risk class Low
Parameters 00 required

What get_training_suggestions does on Garmin MCP Server

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

Why get_training_suggestions needs a policy

This tool retrieves and analyzes existing fitness data to generate recommendations. It has no side effects—it does not create, modify, delete, or execute external operations. The 'Get' verb and read-only nature of querying activity data for analysis places this firmly in the Read category. Severity is low because misuse would at worst provide poor training advice, with no data loss or external impact.

From the tool's definition Tool name 'get_training_suggestions' and description 'Get AI-powered training suggestions based on recent activities and performance' indicate data retrieval only. No modification, execution, deletion, or financial operations are performed.

Questions about get_training_suggestions

What does the get_training_suggestions tool do? +

Get AI-powered training suggestions based on recent activities and performance. It is categorised as a Read tool in the Garmin MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_training_suggestions? +

Register the Garmin MCP Server MCP server in PolicyLayer and add a rule for get_training_suggestions: 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 Garmin MCP Server. Nothing to install.

What risk level is get_training_suggestions? +

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

Can I rate-limit get_training_suggestions? +

Yes. Add a rate_limit block to the get_training_suggestions 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_training_suggestions completely? +

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

get_training_suggestions is provided by the Garmin MCP Server MCP server (j4sun/garmin-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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