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Geoapify MCP by usefulapi

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. Changed1 schema field changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. 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 extra burden and does add value: it discloses the return shape ('Returns a GeoJSON FeatureCollection') and the underlying call ('Geoapify REST: GET /v2/places'). It still omits auth/API-key requirements, rate limits, and pagination behavior, so it is not exhaustive.

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 short sentences, front-loaded with the primary capability, followed by return format and endpoint. Every sentence contributes and there is no filler.

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?

For an 8-parameter read-only search with no output schema, the description covers purpose, category scoping, and return type, which is enough for correct invocation. It is slightly thin on how the 'within an area' constraint is supplied (the filter/bias parameters) and on auth, preventing a 5.

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 each of the 8 parameters is already documented in the schema, establishing a baseline of 3. The description only echoes 'categories' and 'name/conditions' without adding syntax or format meaning beyond what the schema provides.

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?

States a specific verb and resource ('Search for places (POIs) by category within an area') and adds the optional name/conditions narrowing, so the operation is unambiguous. It does not explicitly differentiate itself from the nearby search-like siblings (geoapify_geocode_search, geoapify_place_details), so it stops short of a 5.

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?

Usage is implied by the phrasing ('by category within an area', 'optionally filtered by name/conditions'), which tells the agent the tool is for category-driven POI lookup rather than address resolution. There is no explicit when-to-use/when-not guidance and no sibling alternative is named, so this is minimum-viable rather than strong.

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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