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Soptik1290

MCP Weather Aggregator

by Soptik1290

get_ambient_theme

Retrieve the visual theme and color palette that matches current weather for any location. Provide a city name to get theme name, gradient colors, and special effects for that weather.

Instructions

Get the ambient theme (colors/mood) for current weather conditions.

Args: location_name: Name of the city/location

Returns: JSON with theme name, gradient colors, and special effects

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
location_nameYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.7/5.0
Behavior3/5

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

No annotations are provided, so the description carries the behavioral disclosure burden. It does state the output shape (JSON with theme name, gradient colors, special effects) and implies a read-only operation via 'Get', but it does not address error behavior, location resolution, or any dependencies on sibling tools like search_location.

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 short and front-loaded: the first sentence states the exact purpose, followed by concise Args and Returns sections. No fluff or redundant clauses.

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 one-parameter read-only tool with an output schema available, the description gives the essential information: what it returns, what the parameter is, and its relationship to current weather. It doesn't mention failure modes or prerequisites, but these are minor given the tool's simplicity. The existence of the output schema covers the return format in more detail.

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?

Schema coverage is 0%, so the description is the only place parameter meaning is defined. The Args section says location_name is the 'Name of the city/location,' which adds only slightly to the schema's title 'Location Name' and does not specify format, matching rules, or whether the name must come from search_location.

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 uses a specific verb 'Get' with the resource 'ambient theme' and clarifies it as 'colors/mood' for 'current weather conditions' with a location. This differentiates it from siblings like get_current_weather and get_weather_forecast, which return raw weather data rather than a derived visual theme.

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?

No explicit when-to-use or when-not-to-use guidance is given. The description implies the tool is appropriate when a visual theme for current weather is needed, but it does not name alternatives or exclusions, so an agent must infer the choice from the purpose statement.

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