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IBM

chuk-mcp-geocoder

by IBM

nearby_places

Discover nearby places at different scales (buildings, streets, suburbs, cities) sorted by proximity. Filter by categories like natural or tourism.

Instructions

Find places near a coordinate.

    Discovers nearby places at different scales (buildings, streets,
    suburbs, cities) using reverse geocoding at multiple zoom levels.

    Args:
        lat: Latitude (-90 to 90)
        lon: Longitude (-180 to 180)
        limit: Maximum number of results (default 10)
        categories: Comma-separated OSM categories to filter (e.g. "natural,tourism")
        output_mode: "json" (default) or "text"

    Returns:
        List of nearby places with distances, sorted by proximity
    

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
latYes
lonYes
limitNo
categoriesNo
output_modeNojson
Behavior3/5

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

No annotations provided, so description must disclose behavior. It mentions reverse geocoding at multiple zoom levels and returns sorted list, but lacks details on error handling, rate limits, or whether it modifies data.

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?

Well-structured with Args and Returns sections, front-loaded purpose. Slightly verbose with docstring formatting but no wasted sentences.

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, but description outlines return structure. With 5 parameters and no annotations, it covers basic usage but could include more detail on response format or edge cases.

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

Parameters4/5

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

With 0% schema description coverage, the description adds meaning to all 5 parameters (e.g., lat/lon as coordinates, limit default, categories format, output_mode options), compensating for the lack of schema documentation.

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 it finds places near a coordinate using reverse geocoding at multiple zoom levels, distinguishing it from sibling tools like reverse_geocode and geocode.

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

Usage Guidelines2/5

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

No guidance on when to use this tool vs alternatives (e.g., reverse_geocode). Does not mention limitations or prerequisites.

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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