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eirik-rune

Echorune Radar MCP Server

by eirik-rune

Weather scene with a text radar map

get_weather
Read-onlyIdempotent

Retrieve live weather for any location: current conditions, short forecast, 2-hour rain sparkline, and a character radar map showing echo motion—all in text, readable by humans and agents.

Instructions

Live weather for any place on earth, including the radar echo drawn as text characters rather than an image: current conditions, a short forecast, a 2-hour rain sparkline, and a character radar map with the measured motion of the echo.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
langNoLanguage of the reply. Default en.
placeYesPlace name (any language) or 'lon,lat' with longitude first, e.g. tokyo, 清迈, or 139.7,35.7

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already indicate read-only and idempotent behavior. The description adds that the radar is drawn as text characters, which is an output format detail not covered by annotations. No side effects or limitations are mentioned, but none are expected given the simple weather lookup.

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 concise, using a single well-structured sentence with a colon to list deliverables. No redundant words or excessive detail.

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?

Given the tool's simplicity (2 parameters, no output schema, no nested objects), the description fully covers what the user receives. No missing context for typical usage.

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 100% for both parameters (place and lang). The description does not add extra parameter semantics beyond the schema, which is acceptable per the rubric's baseline for high coverage.

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?

Clearly states it provides live weather for any place, with a specific mention of the radar echo rendered as text characters. The description fully conveys the tool's purpose without ambiguity.

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?

Implies usage by describing what the tool returns (current conditions, forecast, sparkline, radar map). Since there are no sibling tools, explicit differentiation is unnecessary, but a direct 'when to use' statement would slightly improve clarity.

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

Deploy Server

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