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Palo-IT-GitHub-Demos

Lab Registry Server

by Palo-IT-GitHub-Demos
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

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    Deploy Server
    Context All Your Agents Can ShareAgents share what they learn, hand off work, and hold it when you switch models. Start with 5 GB free.fulcradynamics.comAd

    TDQS

    A3.9/5.0

    Scored across 15 tools

    Disambiguation4/5

    Most tools target distinct operations (list/search/suggest entries vs plugins, compliance, validation, reload), and descriptions explicitly cross-reference when to use alternatives. However, several near-duplicate pairs exist (get_entry vs get_entry_by_id, get_plugin vs get_plugin_install_package, check_compliance vs check_compliance_plugin) that could be misselected despite the guidance.

    Naming Consistency5/5

    Every tool follows a consistent snake_case verb_noun or noun pattern (get_* , list_*, check_*, search_*, suggest_*, reload_*, validate_*). No camelCase mixing or vague verbs; the longest names still conform to the same convention.

    Tool Count4/5

    15 tools sit at the top of the well-scoped range and each maps to a plausible registry operation. A few are convenience wrappers (get_entry_by_id, check_compliance_plugin) that slightly inflate the count, but nothing feels gratuitous.

    Completeness5/5

    The surface covers the full lifecycle of a read-only marketplace: discovery (list/search/suggest for both entries and plugins), retrieval (entries, plugins, install packages), compliance checking, changelog, stats, schema validation, and cache reload. No obvious operational gaps remain for the agent's workflows.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources