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Geocoding (Place → Coordinates)

live_geocode

Convert a place name into coordinates and location metadata via Open-Meteo's geocoding API: latitude, longitude, country, administrative region, timezone and population. The input every mapping/weather/travel agent needs first. Use this when an agent needs to city or place name → coordinates, country and timezone. x402 price $0.02/call (USDC, eip155:8453).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cityYesCity or place
countYesMax matches
languageYesResult language

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.9/5.0
Behavior3/5

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

No annotations are present, so the description carries the full behavioral burden. It adds useful context beyond the schema: Open-Meteo as source, x402 price $0.02/call, and the output fields. However, it does not explicitly state read-only safety, authentication requirements, rate limits, or error behavior, leaving meaningful gaps.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is front-loaded with the core purpose and outputs, then adds usage and pricing. It is reasonably concise, though 'The input every mapping/weather/travel agent needs first' and the following 'Use this when...' sentence partially overlap in message.

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 simple, read-only geocoding API with no output schema or annotations, the description gives the essential context: what it returns, where it comes from, when to use it, and its cost. It omits response shape (e.g., array of matches) and error handling, but is largely complete for correct invocation.

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 input parameters are already documented in the schema. The description lists output fields rather than input semantics, adding no meaning for 'city', 'count', or 'language' beyond what the schema provides, so the 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?

States a specific verb ('Convert') and resource ('place name') and lists the exact outputs: latitude, longitude, country, administrative region, timezone, and population. The function is clearly distinct from the listed calculator/converter siblings, so an agent can identify it as the geocoding tool 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?

Gives an explicit trigger: 'Use this when an agent needs to city or place name → coordinates, country and timezone.' It provides clear context for when to call it, but does not mention when not to use it or name any alternative tools.

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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