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Vehicle specifications, emissions, and powertrain data with source provenance.

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Status
Healthy
Uptime
25.0% over the last 24 hours
Last Tested
Transport
Streamable HTTP · MCP 2025-11-25
URL
ChatGPT
–
Claude
–

TDQS

B3.2/5.0

Scored across 2 tools

Disambiguation5/5

The two tools target clearly separate operations: a direct id lookup versus a faceted search. An agent can trivially decide which to call based on whether it has an id or filter criteria.

Naming Consistency4/5

Both names share the `apex_` prefix and a verb_noun structure, giving a predictable pattern. The only deviation is singular `get_variant` versus plural `search_variants`, which is a natural, minor inconsistency.

Tool Count3/5

At two tools this is a very thin surface for a vehicle database; it covers lookup and search but leaves no room for browsing reference data or enumerating facets. Reasonable as a minimal read API, but borderline for the apparent domain scope.

Completeness3/5

Search plus get-by-id covers the core retrieval workflow, and get returns provenance plus cross-source IDs. However, there is no way to list available makes/models/years or resolve a cross-source ID directly, forcing agents to guess free-text filters and leaving dead ends.

Available Tools

2 tools
apex_get_variantA
Read-onlyIdempotent
Inspect

Fetch one canonical variant by id, with every source's provenance + cross-source IDs.

Inputs: id (required).

apex_search_variantsC
Read-onlyIdempotent
Inspect

Search vehicle variants by make, model, year, fuel/drive type, body, or free text.

Inputs: q, brand, limit, model, +4 more.

Tool Schema Changelog

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