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JuanDsm04

finanzas-pyme

by JuanDsm04

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    • A
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      Enables an LLM to inspect a relational database schema and answer financial questions by running validated, read-only SQL queries against a synthetic SQLite dataset.
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    • F
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      Enables LLMs to record, list, update, and delete expenses and credits in a local SQLite database, with enforced categories and running balance summaries.
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    • F
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    • A
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      quality
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      Turns a personal-finance SQLite database into typed, schema-validated tools that an AI assistant can call directly, letting you manage accounts, transactions, budgets, debts, investments, tax estimates, and goals through natural language.
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    TDQS

    A4.1/5.0

    Scored across 6 tools

    Disambiguation5/5

    Each tool targets a distinct financial aspect: expense breakdown, anomaly detection, income statement, revenue trend, cash flow projection, and overall health. While some overlap in scope (e.g., estado_resultados and salud_financiera both provide summaries), their purposes and outputs are clearly differentiated, making misselection unlikely.

    Naming Consistency4/5

    All tool names are in Spanish snake_case, following a descriptive noun or verb-noun pattern. They are consistent in style and clarity, though not all adhere to a strict verb_noun convention. The naming is predictable and readable.

    Tool Count5/5

    Six tools is well-scoped for a financial analysis server. Each tool covers a meaningful analytical function without redundancy, and the count is appropriate for the domain, allowing agents to choose the right tool without overwhelming options.

    Completeness4/5

    The tool surface covers core financial analysis needs: expense breakdown, anomaly detection, income statement, revenue trend, cash flow projection, and a health summary. Minor gaps include lack of a dedicated budget comparison or year-over-year P&L tool, but the existing set handles most common queries without dead ends.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues