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clarehancock

Open-Meteo MCP Server

by clarehancock

geocode_location

Convert a place name into geographic coordinates (latitude/longitude) so weather data can be retrieved for that location.

Instructions

Look up geographic coordinates (latitude/longitude) for a place name, e.g. 'London', 'Paris, TX', or 'Tokyo'. Use this before calling the weather tools if you only have a place name rather than coordinates.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesPlace name to search for, e.g. 'San Francisco'
countNoMaximum number of matching locations to return (default 5)
languageNoLanguage for place names, as an ISO 639-1 code (default 'en')en
Behavior3/5

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

With no annotations provided, the description carries the behavioral burden. It clearly signals a read-only lookup and the output type (coordinates), but does not disclose that multiple matches may be returned or how result ordering/selection works. This is adequate for a simple lookup but leaves some behavior unspecified.

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 with no filler. The core action and examples are front-loaded, and the usage guidance is delivered efficiently in the second sentence.

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?

The tool is simple and the input schema is fully covered, but there is no output schema. The description does not specify the exact return shape (e.g., list of objects with lat/lng fields), which the agent must infer for downstream weather tool calls. Enough for a basic lookup, but not fully complete.

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%, so the schema fully documents all three parameters. The description adds useful input examples for the 'name' parameter but no meaningful new semantics for 'count' or 'language' beyond what the schema already states.

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?

States a specific action ('Look up geographic coordinates') with concrete examples of valid inputs. Clearly distinguishes this geocoding tool from the weather sibling tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly instructs when to use this tool: before calling weather tools when only a place name is available. This directly guides the agent to the right workflow and differentiates from alternatives.

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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