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JinHo-von-Choi

SooTool

by JinHo-von-Choi
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Python
Hybrid

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    Deploy Server
    Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

    TDQS

    A3.6/5.0

    Scored across 286 tools

    Disambiguation2/5

    The 286-tool surface contains many closely related calculators across tax, finance, payroll, and math, so an agent faces frequent misselection risk. Examples include forward_price vs futures_price, tax.kr_income vs tax.progressive vs tax.kr_comprehensive_income_tax, and core.calc vs the dedicated arithmetic tools. Descriptions help within domains, but the overall set has too many overlapping boundaries.

    Naming Consistency5/5

    Tool names consistently use a domain-prefixed snake_case convention such as finance.bond_ytm, engineering.beam_deflection, tax.kr_gift, and units.fx_convert. The verb/noun pattern varies between actions and noun phrases, but the namespace and casing pattern are highly predictable throughout the server.

    Tool Count1/5

    286 tools is far beyond an appropriate scope for a single MCP server, even for a broad multi-domain calculator. The sheer size makes discovery, selection, and maintenance impractical, and strongly suggests the surface should be split into smaller focused servers.

    Completeness3/5

    The server covers many domains broadly, including arithmetic, finance, tax, statistics, units, engineering, and policy management, but coverage is uneven. There are notable gaps such as t-distribution density/CDF tools despite t-tests, limited tax jurisdictions, and incomplete lifecycle support in several specialist domains. Agents can complete many tasks but will encounter dead ends.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources