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geocode_address

Convert addresses or place names into geographic coordinates with detailed location data for mapping, navigation, and spatial analysis.

Instructions

Convert an address or place name to geographic coordinates with detailed location information.

This tool takes a text description of a location (such as an address, landmark name, or place of interest) and returns its precise geographic coordinates along with rich metadata. The results can be used for mapping, navigation, location-based analysis, and as input to other geospatial tools.

Args: address: The address, place name, landmark, or description to geocode (e.g., "Empire State Building", "123 Main St, Springfield", "Golden Gate Park, San Francisco")

Returns: List of matching locations with: - Geographic coordinates (latitude/longitude) - Formatted address - Administrative boundaries (city, state, country) - OSM type and ID - Bounding box (if applicable) - Importance ranking

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
addressYes
Behavior4/5

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

With no annotations provided, the description carries the full burden. It explains the transformation from text to coordinates, includes the possibility of multiple matches, and details returned metadata. It does not mention errors or limitations, but the core behavior is well-covered.

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 well-structured with a one-sentence summary, then 'Args' and 'Returns' sections. It is somewhat verbose but every sentence adds useful information, making it efficient rather than bloated.

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

Completeness5/5

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

Given the tool's complexity and lack of an output schema, the description thoroughly explains both input and output, including return fields and use cases. It leaves little ambiguity about what the tool does and what an agent can expect.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has zero description coverage, but the description compensates with an 'Args' section that explains the address parameter and provides concrete examples, adding significant meaning beyond the schema's bare string type.

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 converts an address or place name to geographic coordinates, which distinguishes it from reverse_geocode and other geospatial siblings. It uses a specific verb ('Convert') and resource ('address or place name') and outlines the output.

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 provides clear context by listing use cases (mapping, navigation, location-based analysis, input to other geospatial tools). It does not explicitly mention when not to use it or name alternatives, but the intended usage is evident.

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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