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pricing-mcp

by rdfierro
OverviewSchemaSourceRelated ServersDiscussionsAdmin
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

    A3.7/5.0

    Scored across 6 tools

    Disambiguation4/5

    Each tool occupies a distinct analytical niche: elasticity estimation, simulation, policy guardrails, internal ladder checks, and competitor benchmarking. The three 'check/compare' tools could look similar at a glance (guardrails vs ladder vs competitor index), but their descriptions clearly separate hard policy rules, internal consistency, and external market position.

    Naming Consistency4/5

    Five of six tools follow a clean verb_noun pattern (list_products, get_price_elasticity, simulate_price_change, check_price_guardrails, check_price_ladder). The lone outlier, competitor_price_index, is a noun-only name but is still readable and unambiguous.

    Tool Count5/5

    Six tools is well-scoped for a pricing decision-support server, with each tool covering a distinct step in the analyze-simulate-validate workflow. No filler or redundant tools.

    Completeness4/5

    The read/analyze/simulate/validate lifecycle is covered, including guardrails and ladder checks that agents would otherwise have to invent. The notable gap is the absence of any write or apply operation (e.g. commit a price change or record a decision), so the workflow ends at advice.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

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