No user-submitted related servers found.
Scored across 19 tools
The tool set has clear thematic grouping (risk checks, intelligence gathering, AI forensics, monitoring), but there is significant overlap within categories. For example, check_token_risk, check_token_risk_premium, and the marcus_* tools all perform risk analysis with varying depth, which could confuse an agent about which to select for a given scenario. Descriptions help differentiate, but the boundaries are not always sharp.
Most tools follow a consistent verb_noun pattern (e.g., check_batch_risk, get_api_status, watch_token), with clear action prefixes like 'check', 'get', and 'marcus_'. The marcus_* tools deviate slightly by using a proper name prefix instead of a verb, but they maintain internal consistency. Overall, the naming is predictable and readable.
With 19 tools, the count is borderline high for a risk analysis server, leaning toward heavy. While the domain (crypto token security) is complex and may justify many tools, some tools feel redundant (e.g., multiple AI forensic options) or niche (e.g., marcus_thread), suggesting potential over-scoping that could overwhelm an agent.
The tool surface comprehensively covers the domain of crypto token risk assessment and intelligence. It includes core checks (token, deployer, wallet), advanced analysis (AI forensics, holder deep dives), market-wide metrics, social OSINT, and proactive monitoring. There are no obvious gaps; agents can perform end-to-end risk evaluation and monitoring workflows.