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malkreide

Zurich Open Data MCP Server

by malkreide

zurich_water_weather

Read-only

Retrieve real-time weather and water data from Zurich lake stations Tiefenbrunnen and Mythenquai, including temperature, wind, water level, precipitation, and more, updated every 10 minutes.

Instructions

Liefert Echtzeit-Wetterdaten der Wasserschutzpolizei Zürich.

Stationen am Zürichsee: Tiefenbrunnen und Mythenquai. 10-Minuten-Intervall mit See- und Lufttemperatur, Wind, Wasserstand, Niederschlag, Luftdruck, Taupunkt, Globalstrahlung.

Returns: Aktuelle See-Messwerte mit Wasser- und Lufttemperatur, Wind, Pegel

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paramsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Annotations already indicate readOnlyHint=true and destructiveHint=false. The description adds value by specifying real-time data, 10-minute update intervals, and the exact measurements (e.g., water temperature, wind, water level), which are beyond what annotations provide.

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?

The description is front-loaded with the main purpose and key details. It is 5 lines but includes a repeated 'Returns:' line that could be trimmed. Overall, it is relatively concise and structured.

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?

Given the tool's simplicity and the presence of an output schema, the description adequately covers the data points and update interval. It does not explain return values, but the output schema handles that. The description is sufficient for an agent to understand the tool's capabilities.

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

Parameters3/5

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

Schema description coverage is 0%, and the description partially compensates by mentioning the two available stations (tiefenbrunnen and mythenquai) and the data update interval. However, it does not explain the 'limit' parameter, leaving its purpose unclear. The description adds some context but not full compensation.

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 states it provides real-time water weather data from the Zurich water police, listing specific stations and measurement types. This distinguishes it from sibling tools like zurich_weather_live, which likely covers general weather.

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

Usage Guidelines2/5

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

No guidance on when to use this tool versus alternatives like zurich_weather_live or other weather tools. The description implies it is for water-specific weather but does not explicitly state exclusions or comparisons.

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

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