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fetchaller

fetchaller

by Averyy
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

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    TDQS

    A3.6/5.0

    Scored across 28 tools

    Disambiguation3/5

    The generic fetch/search pair is clean, and most verticals (Reddit, Alibaba, AliExpress, realtor, UniFi) are clearly distinct. But the surface carries 13 job-board searchers plus several generic ATS searchers (eightfold, workday, oracle), and search_oracle_jobs explicitly covers Uber while search_uber_jobs also exists — a direct overlap an agent must reason through. Descriptions disambiguate well, but selection depends on knowing which board hosts which employer.

    Naming Consistency4/5

    Almost everything follows a verb_noun snake_case pattern (search_* / get_*, grouped by source), which is highly predictable. The deviations are the bare verbs `fetch` and `search`, plus `browse_reddit` where sibling sources use `search_reddit` — same concept, two different verbs.

    Tool Count3/5

    28 tools is heavy and sits above the comfortable 15-tool band, largely because each job board got its own search tool. Each tool is scoped to a real, distinct source, so nothing is gratuitous, but the sheer breadth imposes a discovery cost on the agent.

    Completeness4/5

    Generic fetch/search backs every vertical, so agents can always fall back to reading a URL, and the highest-value boards even get dedicated get_* detail tools (LinkedIn, Indeed, gojobs, gcjobs). Gaps are minor: no per-posting detail tool for the ATS boards (Workday, Eightfold, Oracle, Job Bank) and no dedicated Reddit/Marketplace item reader, both mitigated by documented fetch(url) workarounds.

    Maintenance

    ActivityActive
    ResponsivenessNo recent community issues

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