Evascrape MCP server
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TDQS
Scored across 7 tools
The three lead tools clearly target different sources (Google Maps scraping, Apollo URL export, LinkedIn filter-based search), and the support tools (check_balance, job_status, estimate_cost, download) each have a distinct role. No two tools can be reasonably confused for the same task.
All names use snake_case consistently, but the convention varies slightly: source-oriented nouns (google_maps_leads, linkedin_leads, apollo_export) mix with verb-oriented names (check_balance, estimate_cost, download, job_status). Still predictable and readable throughout.
Seven tools is well-scoped for a scraping service: three job-starting sources plus four support operations (balance, status, cost, download). Every tool earns its place with no redundancy.
The job lifecycle (start -> poll -> download), cost estimation, and balance checks are all covered, matching the async job model. Minor gaps like listing/cancelling existing jobs or a job history tool exist but agents can work around them.