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harshitagarwal2

tradingrearchagents

by harshitagarwal2
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Python
Hybrid

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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    C2.7/5.0

    Scored across 27 tools

    Disambiguation2/5

    Several tools have overlapping boundaries: get_run, get_run_events, get_run_result, get_run_view, get_run_control all retrieve run data but differ subtly in scope and purpose. Similarly, run_fixture, create_host_run, and start_host_run all initiate executions, and import_host_run vs finalize_host_run both validate and publish dossiers. The differences are hard to discern from names alone.

    Naming Consistency4/5

    Most tools follow a consistent verb_noun pattern (get_, create_, start_, run_, pause_, resume_, finalize_), with a few camelCase outliers like launch_local_dashboard, prepare_host_run, and append_run_receipts that break the underscore convention. The dominant pattern is readable and predictable, but the mixed style is a minor inconsistency.

    Tool Count2/5

    27 tools is on the heavy side, especially for what appears to be a single-purpose trading research harness. Many tools (get_run, get_run_events, get_run_result, get_run_view, get_run_control, poll_run_events) overlap substantially in the retrieval space, suggesting the surface could be consolidated significantly.

    Completeness4/5

    The host-run lifecycle is comprehensively covered: create, start, commit, pause, resume, cancel, finalize, export, and query. Decision memory has both recall and record-outcome operations. Minor gaps exist around fixture editing or host-run deletion, but the core research workflow appears fully covered with no obvious dead ends.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources