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justinbulbasaur

teams-copilot

by justinbulbasaur
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Python
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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

    A3.6/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool has a distinct purpose: copilot_ask sends a prompt, copilot_status reads conversation state, and copilot_new_chat resets the conversation. There is no overlap in action or resource, so an agent can select correctly without ambiguity.

    Naming Consistency5/5

    All names use a consistent copilot_ prefix followed by a short action identifier in snake_case (copilot_ask, copilot_status, copilot_new_chat). The pattern is predictable and uniform across the entire set.

    Tool Count4/5

    Three tools is a reasonable minimal surface for a focused Copilot conversation client, and each earns its place. However, it sits at the lower end and leaves little room for secondary operations, making it slightly under-scoped rather than optimally sized.

    Completeness3/5

    The core lifecycle of starting a chat, asking a question, and checking status is covered, but there is no way to retrieve prior conversation transcripts, list retained chats, cancel an in-flight request, or delete conversations despite the note that prior chats are retained. These are notable gaps for a conversational service.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

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