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geoapify

Places search

geoapify_places
Read-only

Search for places (POIs) by category within an area, optionally filtered by name/conditions. Returns a GeoJSON FeatureCollection. Geoapify REST: GET /v2/places.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
biasNoBias results toward a location, e.g. 'proximity:13.4,52.5'.
langNoResult language as an ISO 639-1 code, e.g. 'en', 'de', 'fr'.
nameNoFilter places by (partial) name.
limitNoMax number of results to return.
filterNoSpatial filter, e.g. 'circle:13.4,52.5,1000' or 'rect:...' or 'place:<placeId>'.
offsetNoPagination offset (skip N results).
categoriesYesComma-separated Geoapify place categories, e.g. 'catering.restaurant,commercial' (required).
conditionsNoComma-separated conditions, e.g. 'named,internet_access'.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations only declare readOnlyHint=true, so the description carries real weight here and delivers useful context: the return format (GeoJSON FeatureCollection) and the backing endpoint (GET /v2/places). It stops short of describing pagination behavior, result caps, or auth/rate-limit constraints.

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?

Three tight sentences: purpose first, return shape second, endpoint last. No filler, nothing that fails to earn its place.

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?

With 8 parameters and no output schema, stating the return type is important and it does so. The one weakness is that 'within an area' is asserted but never tied to the optional 'filter' parameter, leaving the agent to infer how spatial scoping is actually performed.

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 every parameter is already documented with examples. The description echoes the category/name/conditions concept but adds no format or syntax detail beyond the schema, making this a baseline score.

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?

Names a specific verb and resource ('Search for places (POIs)') plus the scoping mechanism (by category within an area) and optional filters. It is clearly distinct from geocode/place_details in spirit, but never names a sibling to make the boundary explicit.

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 phrase 'optionally filtered by name/conditions' implies how to narrow results, but there is no explicit when-to-use guidance. It never tells the agent when to pick this over geoapify_geocode_search or geoapify_place_details, or that categories is required for every call.

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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