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lordstyled55

MCP Goose Subagents Server

by lordstyled55
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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

    B3.4/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: create_goose_recipe focuses on recipe creation, delegate_to_subagents handles task delegation, get_subagent_results retrieves results, and list_active_subagents monitors subagent status. There is no overlap or ambiguity between these functions.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern with clear, descriptive actions: create_goose_recipe, delegate_to_subagents, get_subagent_results, and list_active_subagents. The naming is uniform and predictable throughout the set.

    Tool Count4/5

    With 4 tools, the count is reasonable for managing subagents, covering creation, delegation, monitoring, and result retrieval. It is slightly lean but well-scoped, as each tool serves a distinct role without redundancy.

    Completeness4/5

    The tool set covers core workflows for subagent management: creation, delegation, status listing, and result fetching. Minor gaps might include updating or deleting recipes or subagents, but these are not critical for basic operations and agents can work around them.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

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