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AIWerk

Google Maps MCP Server

by AIWerk

maps_reverse_geocode

Read-only

Convert coordinates into precise addresses, from most to least specific. Filter results by address type or location precision for targeted matches.

Instructions

Convert coordinates into the addresses at that point, ordered from most to least specific. Filter with result_type (e.g. "street_address") or location_type (e.g. "ROOFTOP") when only one kind of match is useful.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
languageNoISO 639 language code for the formatted address.
locationYesCoordinates as "latitude,longitude", e.g. "46.9480,7.4474".
result_typeNoOptional address type filter, e.g. "street_address" or "locality|postal_code".
location_typeNoOptional precision filter: ROOFTOP, RANGE_INTERPOLATED, GEOMETRIC_CENTER or APPROXIMATE. Values can be combined with "|".
Behavior3/5

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

Annotations already indicate readOnlyHint=true and openWorldHint=true, so the description does not need to re-state safety. It adds useful context about result ordering (most to least specific) and filter usage, but does not disclose pagination, error behavior, or output structure beyond that.

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 states the core function, second offers filter guidance. No wasted words, front-loaded with the primary action.

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 no output schema, the description adequately communicates what is returned (addresses) and how to narrow results. It does not explain return formats, but for a reverse geocoding tool this level of detail is sufficient for an agent to invoke it correctly.

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 each parameter already described. The description adds examples for result_type and location_type, but these are illustrative rather than additional semantic meaning. Baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool converts coordinates into addresses, which is specific and action-oriented. It implicitly distinguishes from forward geocoding (maps_geocode) by emphasizing coordinates-to-address direction, though it does not explicitly name an alternative.

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?

The description implies usage for when you have coordinates and need addresses, and explains when to use filters (result_type, location_type). However, it does not explicitly contrast with sibling tools like maps_geocode or provide when-not-to-use guidance.

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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