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Amazon and Shopify products, best sellers, niches, trademarks, Shopping prices, image upscaling.

Ownership verified
Status
Healthy
Uptime
100.0% over the last 24 hours
Last Tested
Transport
Streamable HTTP · MCP 2025-11-25
URL
Repository
PravinrajV/vncntlabs-apify-examples
GitHub Stars
0
ChatGPT
–
Claude
–

TDQS

A4.1/5.0

Scored across 4 tools

Disambiguation5/5

Each tool targets a clearly distinct resource and action: aborting a run, retrieving run details, reading dataset items, and reading a single key-value record. The descriptions reinforce the boundaries and include examples that make selection straightforward.

Naming Consistency5/5

All tool names use kebab-case and follow a predictable action-resource pattern: abort-actor-run, get-actor-run, get-dataset-items, get-key-value-store-record. There are no mixed conventions or vague names.

Tool Count4/5

Four tools is within a reasonable range and each has a clear role, but the set feels slightly thin for an Actor run and storage interaction surface. It is focused rather than sprawling, though additional discovery/list operations would make the count feel more complete.

Completeness2/5

The surface only supports aborting/getting existing runs and reading existing dataset or key-value records. Major lifecycle operations are missing, such as starting an Actor run, listing runs, listing datasets or stores, and writing records, which will block many common workflows.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

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