ASTRA Unified Research Lab MCP Server
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TDQS
Scored across 48 tools
Tools are grouped by prefixes (tcai_, wm_, sensor_, np_), which helps distinguish domains, but multiple status query tools and consciousness assessment tools overlap in purpose. For example, get_acm_score, tcai_metrics, and tcai_capability_model could be confused by an agent.
The server mixes prefixed noun-style names (tcai_curiosity, np_status) with verb_noun names (inject_spikes, export_snapshot) and get_* verbs (get_system_status). Within each module the naming is mostly consistent, but the overall convention is heterogeneous and lacks a unified pattern.
With 48 tools, the server is heavily overloaded. Many tools are highly specialized and could be consolidated, making navigation and selection cumbersome for an agent. The sheer number exceeds the typical well-scoped range.
The tool set covers a broad range of research functions including SNN simulation, world models, sensors, neuroplatform control, and consciousness metrics. However, there are notable gaps such as no memory deletion or sensor calibration/update tools, leaving minor workflow dead ends.