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Weather MCP Server

Weather MCP Server

by isdaniel
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

get_weather_byDateTimeRange

Retrieve weather data for a city between two dates. Specify the city name, start date, and end date to get the weather information.

Instructions

Get weather information for a specified city between start and end dates.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "city": "<city>",
      "start_date": "<start_date>",
      "end_date": "<end_date>"
    },
    "name": "get_weather_byDateTimeRange"
  }
}

Input Schema

NameRequiredDescriptionDefault
cityYesThe name of the city to fetch weather information for, PLEASE NOTE English name only, if the parameter city isn't English please translate to English before invoking this function.
start_dateYesStart date in format YYYY-MM-DD, please follow ISO 8601 format
end_dateYesEnd date in format YYYY-MM-DD , please follow ISO 8601 format

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.3/5.0
Behavior2/5

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

With no annotations provided, the description carries full behavioral burden but only states the basic function. No disclosure of traits like data source, update frequency, error handling, or what happens if dates span gaps. Minimal value beyond the name.

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?

A single sentence of 11 words that is efficient and front-loads the purpose. Every word earns its place; no redundancy or fluff.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the low complexity of a date-range weather tool with no output schema, the description is minimally adequate. However, it could mention the return format (e.g., temperature, conditions) or that it covers the full range. Lacks completeness but not severely.

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%, so the schema already documents all parameters. The description does not add meaning beyond the schema; it merely restates the overall purpose. 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 action (Get), the resource (weather information), and the scope (for a specified city between start and end dates). It distinguishes itself from siblings like get_current_weather and get_weather_details by specifying a date range.

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 vs alternatives (e.g., get_current_weather for current conditions, get_weather_details for more detail). The description does not provide when-not-to-use or mention any prerequisites or limitations.

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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