Skip to main content
Glama

Alya — The Hub for Autonomous Agents

alya_weather_now

Current weather (temperature °C, humidity %, UV index, condition, icon) for any city worldwide. Powered by Velene's miroir engine (OpenMeteo + Grok-fused). Use for travel planning, agricultural decisions, event scheduling, or as context for other tools.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cityYesCity name (e.g. 'Istanbul', 'Tokyo', 'New York')

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4/5.0
Behavior3/5

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

No annotations are provided, so the description must disclose behavioral traits. It mentions the data source (OpenMeteo + Grok-fused via Velene's miroir engine) but omits details like error handling, response format, rate limits, or what happens for invalid city names. The description is adequate but not fully transparent.

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?

Two sentences: first defines purpose and output data, second gives usage context and data source. Extremely concise with no redundant words. Every sentence adds value.

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 (one parameter, no output schema, no annotations), the description covers the essential aspects: what it does, what it returns, and when to use it. Minor omissions (e.g., output format details) are acceptable for this context.

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 coverage is 100%, with a clear description for the 'city' parameter. The description adds global scope ('any city worldwide') and lists output fields, but does not provide extra semantics like case sensitivity or format expectations. Baseline 3 is appropriate.

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 the tool provides current weather data (temperature, humidity, UV index, condition, icon) for any city worldwide, with no competing sibling tool. The verb 'get' is implied and the resource (weather) is well-specified.

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?

The description explicitly lists use cases (travel planning, agricultural decisions, event scheduling, context for other tools), guiding appropriate usage. However, it does not mention when not to use it or any alternatives, as none exist among siblings.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.