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nearby_find

Discover nearby cities, towns, or points of interest from any address or coordinates. Distances calculated and results sorted by proximity.

Instructions

Discover nearby cities, towns, or points of interest from any location or address. Automatically calculates distances and sorts results by proximity. Supports both coordinate and address-based searches.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
whatYesType of places to search for: "cities" for major cities, "towns" for smaller localities, "pois" for points of interest, "custom" for specific types via included_types
originYesStarting location for the search. Provide either coordinates like {"lat": 37.7749, "lng": -122.4194} or an address like {"address": "San Francisco, CA"}
regionNoRegion code for biasing results (ISO 3166-1 alpha-2, e.g., "US", "GB", "DE")
languageNoLanguage code for results (ISO 639-1, e.g., "en", "es", "fr")
max_resultsNoMaximum number of results to return (default: 20)
radius_metersNoSearch radius in meters (default: 30000)
included_typesNoSpecific place types to include (used with what=custom or pois). Example: ["restaurant", "gas_station", "tourist_attraction"]
Behavior3/5

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

No annotations are provided, so the description carries full burden. It discloses that distances are automatically calculated and results sorted by proximity, but does not mention rate limits, authentication, or output format. For a read tool, this is adequate but could be more transparent.

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?

The description is two sentences, clear and to the point. Every sentence adds value: first sentence states the action, second sentence adds behavioral detail. No unnecessary words.

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?

No output schema is provided, so the description should hint at the return format. It does not mention what is returned (e.g., list of places with distances and coordinates). Also lacks pagination details despite a max_results parameter. Adequate but not 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 description coverage is 100%, so the schema already documents all parameters. The description adds no new parameter-level information beyond what is in the schema. The baseline of 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 tool discovers nearby cities, towns, or points of interest, and specifies it supports coordinate and address-based searches. It distinguishes from siblings by focusing on general nearby discovery with automatic distance calculation and sorting.

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 finding nearby places but does not provide guidance on when to use this tool versus alternatives like 'places_nearby' or 'places_search_text'. No explicit when-to-use or when-not-to-use information is given.

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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