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wtcollote

coros-workout-mcp

by wtcollote

analyze_route_weather

Read-only

Check a GPX route against hourly weather forecasts to estimate arrival times and report temperature, rain, wind, and daylight risks.

Instructions

Combine a GPX route with Open-Meteo hourly forecasts. Estimates arrival per sector and reports temperature, rain, wind, gusts, headwind/crosswind components, daylight and explicit risks.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
gpxXmlYesComplete GPX XML document
startTimeIsoYesDeparture timestamp in ISO 8601 format including timezone
totalStopMinutesNo
segmentDistanceKmNo
averageMovingSpeedKmhYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv2.2.4

TDQS

B3.4/5.0
Behavior3/5

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

The description adds a read-only/reporting intent and names outputs such as risks and daylight, which is useful beyond the annotations. However, it does not disclose external-service implications, error behavior, or whether the GPX is stored or altered. It does not contradict the annotations.

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

Conciseness4/5

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

Two sentences, with the core operation front-loaded and a dense but relevant list of reported weather metrics. The balanced bullet-style list in the prose is efficient, though a less ambiguous wording for 'explicit risks' would slightly improve it.

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

Completeness2/5

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

This is a 5-parameter, moderately complex forecast tool with no output schema, yet the description does not cover output units, error conditions, or how inputs should be composed. It only broadly lists the outputs, leaving meaningful gaps for an agent to correctly invoke and interpret the tool.

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

Parameters2/5

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

Only a small portion of the parameters are described in the schema, so the description carries the burden of defining the rest. It adds the concept of sector evaluation, which clarifies segmentDistanceKm somewhat, but it leaves totalStopMinutes and averageMovingSpeedKmh largely to name and defaults, and does not explain units or bounds.

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 states a specific action (combine a GPX route with forecasts) and a specific sense of the result (sector-level weather/risks). The metric enumeration clearly distinguishes it from nearby siblings like analyze_gpx_route.

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?

The description implies it is for weather-aware route analysis, but it does not not explicitly say when to choose it over analyze_gpx_route or plan_operational_route, nor does it exclude those alternatives. Usage is inferred from content, not explicit.

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