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schlpbch

Aareguru MCP Server

by schlpbch

Compare Cities

compare_cities

Compare cities by water temperature, flow, and safety to discover the warmest and coldest spots and how many are safe for swimming.

Instructions

Compare multiple cities

This is the recommended tool for comparing one to many cities.

Args: cities: List of city identifiers (e.g., ['Bern', 'Thun']). If None, compares all available cities.

Returns: Dictionary with: - cities: List of city data with temperature, flow, safety - warmest: City with highest temperature - coldest: City with lowest temperature - safe_count: Number of cities with safe flow conditions - total_count: Total cities compared

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
citiesNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv4.6.0
    • addedInput schema / additionalProperties
      Added value: +false
  2. First observedv3.3.0

TDQS

A4.3/5.0
Behavior4/5

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

No annotations are provided, so the description carries the behavioral burden. It does disclose important behavior: the cities parameter is optional and defaults to comparing all available cities, and it details the returned dictionary fields. It does not explicitly state non-mutating status or edge cases, but the read-only comparison nature is reasonably clear.

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?

The description is front-loaded with the core purpose and then uses compact Args/Returns sections for the supporting details. There is no filler; every sentence and list item contributes useful information.

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

Completeness4/5

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

For a simple tool with one optional parameter and an output schema, the description covers parameter semantics and return structure well. It does not address invalid city identifiers or explicitly route agents away from sibling comparison tools, but these are minor gaps.

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

Parameters5/5

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

The input schema only provides an optional array/null with no description, while the tool description fully compensates: it explains that cities are city identifiers, gives concrete examples ('Bern', 'Thun'), and documents the None behavior as 'compares all available cities'. This adds strong semantic value beyond the schema.

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

Purpose4/5

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

The description clearly states the verb-resource pair ('Compare multiple cities') and identifies the tool as recommended for comparing one to many cities. It does not explicitly differentiate from sibling tools like compare_cities_table, so it stops short of a 5.

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

Usage Guidelines4/5

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

It provides clear usage context by saying this is the recommended tool for comparing one to many cities. However, it does not mention when to use alternative comparison-related siblings such as compare_cities_table or fetch_comparison, so exclusions and alternatives are missing.

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