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Live weather anywhere, with the radar drawn as text characters, not an image.

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Status
Healthy
Uptime
60.1% over 41 days
Last Tested
Transport
Streamable HTTP · MCP 2025-06-18
URL
Repository
eirik-rune/runemap
GitHub Stars
3
Server Listing
Echorune Radar MCP Server

TDQS

A4.3/5.0

Scored across 1 tool

Disambiguation5/5

With only one tool, there is no possibility of confusing it with another. The purpose is clearly described and self-contained.

Naming Consistency5/5

The single tool name follows a clear verb_noun pattern and is immediately readable. Since there is only one tool, there are no naming conflicts or mixed conventions.

Tool Count3/5

One tool is at the low end of the range and the server feels thin for a radar-focused service. The tool bundles many features, so it may be intentional, but the surface is still minimal.

Completeness4/5

The tool covers current conditions, forecast, precipitation trend, and radar map, which covers the core use case well. More granular radar controls or alerts would be nice, but their absence is not a critical gap.

Available Tools

1 tool
get_weatherWeather scene with a text radar mapA
Read-onlyIdempotent
Inspect

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.

ParametersJSON 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

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.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 1 tool update
    • First observedget_weather

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