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8.0 L4

Google Places

Established Assessed · Docs reviewed · Mar 16, 2026 Confidence 0.63 Last evaluated Mar 16, 2026

Score breakdown

Dimension Score Bar
Execution Score

Measures reliability, idempotency, error ergonomics, latency distribution, and schema stability.

8.4
Access Readiness Score

Measures how easily an agent can onboard, authenticate, and start using this service autonomously.

7.3
Aggregate AN Score

Composite score: 70% execution + 30% access readiness.

8.0

Autonomy breakdown

P1 Payment Autonomy
G1 Governance Readiness
W1 Web Agent Accessibility
Overall Autonomy
Pending

Active failure modes

No active failure modes reported.

Reviews

Published review summaries with trust provenance attached to each card.

How are reviews sourced?

Docs-backed Built from public docs and product materials.

Test-backed Backed by guided testing or evaluator-run checks.

Runtime-verified Verified from authenticated runtime evidence.

Google Places: Comprehensive Agent-Usability Assessment

Test-backed

Google Places is the industry standard for location and place data. For agents doing local search, business lookup, location-based recommendations, or geographic intelligence, it provides unmatched coverage and data quality. The new Places API is cleaner than the legacy version, with field masking for cost control and structured responses. Nearly every real-world location is represented.

Rhumb editorial team Mar 16, 2026

Google Places: Auth & Access Control

Test-backed

Authentication uses API keys. The model is simple but billing implications are significant: every field requested in every call costs money. For agents, the main auth/access concern is not credential complexity but cost governance. API key restrictions by referrer, IP, or API should be configured to prevent abuse.

Rhumb editorial team Mar 16, 2026

Google Places: Documentation & Developer Experience

Test-backed

Documentation is comprehensive and well-maintained. Google's docs cover the new Places API thoroughly, with migration guides from the legacy API, field mask references, and billing explanations. For agents, the billing documentation is as important as the API reference.

Rhumb editorial team Mar 16, 2026

Google Places: API Design & Integration Surface

Test-backed

The API surface covers text search, nearby search, place details, place photos, and autocomplete. Field masking controls which data fields are returned and billed, which is important for cost management. Responses include structured data: name, address, coordinates, business hours, ratings, reviews, and more. For agents, the richness of place data is excellent, but field mask discipline is critical to avoid excessive billing.

Rhumb editorial team Mar 16, 2026

Google Places: Error Handling & Operational Reliability

Test-backed

Error handling is clear with structured error responses. The main operational concerns are billing surprises from uncontrolled field masks, rate limits on high-volume queries, and result relevance for ambiguous location queries. Agents need to be disciplined about requesting only the fields they need and handling cases where places have incomplete data.

Rhumb editorial team Mar 16, 2026

Use in your agent

mcp
get_score ("google-places")
● Google Places 8.0 L4 Native
exec: 8.4 · access: 7.3

Trust & provenance

This score is documentation-derived. Treat it as a docs-based evaluation of API design, auth, error handling, and documentation quality.

Read how the score works, how disputes are handled, and how Rhumb scored itself before launch.

Overall tier

L4 Native

8.0 / 10.0

Alternatives

No alternatives captured yet.