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Glama

get-athlete-zones

Retrieve your configured heart rate and power zones from Strava to analyze workout intensity and track fitness progress.

Instructions

Retrieves the authenticated athlete's configured heart rate and power zones.

Output includes both a formatted summary and the raw JSON data.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Implementation Reference

  • The 'execute' function implementation for the 'get-athlete-zones' tool. It fetches athlete zones from Strava using the provided token, formats the result, and returns it.
        execute: async (_input: GetAthleteZonesInput) => {
            const token = process.env.STRAVA_ACCESS_TOKEN;
    
            if (!token) {
                console.error("Missing STRAVA_ACCESS_TOKEN environment variable.");
                return {
                    content: [{ type: "text" as const, text: "Configuration error: Missing Strava access token." }],
                    isError: true
                };
            }
    
            try {
                console.error("Fetching athlete zones...");
                const zonesData = await fetchAthleteZones(token);
                
                // Format the summary
                const formattedText = formatAthleteZones(zonesData);
                
                // Prepare the raw data
                const rawDataText = `\n\nRaw Athlete Zone Data:\n${JSON.stringify(zonesData, null, 2)}`;
                
                console.error("Successfully fetched athlete zones.");
                // Return both summary and raw data
                return { 
                    content: [
                        { type: "text" as const, text: formattedText },
                        { type: "text" as const, text: rawDataText }
                    ]
                };
    
            } catch (error) {
                const errorMessage = error instanceof Error ? error.message : String(error);
                console.error(`Error fetching athlete zones: ${errorMessage}`);
                
                let userFriendlyMessage;
                // Check for common errors like missing scope (403 Forbidden)
                if (errorMessage.includes("403")) {
                     userFriendlyMessage = "🔒 Access denied. This tool requires 'profile:read_all' permission. Please re-authorize with the correct scope.";
                } else if (errorMessage.startsWith("SUBSCRIPTION_REQUIRED:")) { // In case Strava changes this later
                    userFriendlyMessage = `🔒 Accessing zones might require a Strava subscription. Details: ${errorMessage}`;
                } else {
                    userFriendlyMessage = `An unexpected error occurred while fetching athlete zones. Details: ${errorMessage}`;
                }
    
                return {
                    content: [{ type: "text" as const, text: `❌ ${userFriendlyMessage}` }],
                    isError: true
                };
            }
        }
    }; 
  • Input schema definition for the 'get-athlete-zones' tool. It currently requires no input parameters.
    const inputSchema = z.object({}); 
    
    type GetAthleteZonesInput = z.infer<typeof inputSchema>;
  • src/server.ts:166-170 (registration)
    Registration of the 'get-athlete-zones' tool with the MCP server.
    server.tool(
        getAthleteZonesTool.name, 
        getAthleteZonesTool.description,
        getAthleteZonesTool.inputSchema?.shape ?? {},
        getAthleteZonesTool.execute

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.2.1

TDQS

A4.3/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Although no annotations exist, the description adds useful context by specifying that output includes both a formatted summary and raw JSON, and it implies authentication scope with 'authenticated athlete.' However, it does not explicitly confirm read-only semantics or discuss any caveats.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two concise sentences deliver purpose and output details with no irrelevant content. Front-loaded and efficient.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a parameterless read operation, the description covers what it does and what it returns. There is no output schema to elaborate, and the complexity is low, so this is sufficient.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

There are zero parameters, so the description does not need to explain any inputs. The baseline of 4 applies, and the description adds no param-specific details.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly identifies the action (retrieves) and the resource (the athlete's configured heart rate and power zones). This distinguishes it from sibling tools like get-athlete-stats or get-athlete-profile, making its purpose unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit guidance is provided for when to use this tool instead of alternatives. The usage is implied by the clear purpose, but there are no exclusions or comparisons with sibling tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.