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Radar Context

radar_context
Read-onlyIdempotent

Get place/geofence/region context for coordinates using Radar. Returns geofences, the containing place, and administrative region (country/state/postal code) for a lat/lng. Example: radar_context({ lat: 40.70390, lon: -73.98670, apiKey: "prj_live_sk..." })

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
latYesLatitude, e.g. 40.70390
lonYesLongitude, e.g. -73.98670
_apiKeyYesRadar API key (get one free at radar.com)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnly, idempotent, openWorld, non-destructive). The description adds value beyond them by naming the external provider (Radar) and, importantly, disclosing the shape of the return payload in the absence of an output schema. It omits quota/latency/error behavior for the remote call, keeping it short of a 5.

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?

Two tight sentences with the core purpose front-loaded, followed by one illustrative call. The example partly duplicates the schema's examples array, so it earns slightly less than full marks, but nothing is bloated.

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 a read-only, single-purpose lookup with complete schema coverage and full annotations, the description supplies what structure cannot: the return contents. Coverage would be complete with a note on sibling selection (reverse geocode vs context) or remote-call failure modes.

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 lat, lon, and _apiKey are already documented with units/format and an example value. The description's embedded example adds a concrete call shape but no semantics beyond the schema, so the baseline 3 applies.

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 ('Get place/geofence/region context for coordinates') and enumerates the returned artifacts (geofences, containing place, country/state/postal code). It clearly differs from radar_ip_geocode and radar_autocomplete, though it never explicitly contrasts itself with radar_reverse_geocode, whose coordinate-to-address job overlaps.

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 example call implies the intended use (pass a lat/lng to get context), but there is no explicit when-to-use guidance, no statement of when to prefer this over radar_reverse_geocode or radar_geocode, and no prerequisites beyond the key. Usage is inferable rather than stated.

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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