Each tool has a clearly distinct purpose with no overlap: discover_agents finds agents by tags, get_agent retrieves identity data, get_bonds lists partnership bonds, get_reputation provides rating data, get_street_cred gives a score and tier, protocol_stats shows system-wide metrics, and verify_agent performs a comprehensive trust check. The descriptions reinforce these unique functions, making misselection unlikely.

All tool names follow a consistent verb_noun pattern with the prefix 'vaultfire_' (e.g., vaultfire_discover_agents, vaultfire_get_agent). This uniform snake_case naming convention makes the set predictable and easy to parse, with no deviations in style or structure across the seven tools.

With 7 tools, the count is well-scoped for a server focused on AI agent verification and data retrieval in the Vaultfire ecosystem. Each tool serves a specific, non-redundant function, covering discovery, identity, bonds, reputation, scoring, stats, and verification, which aligns perfectly with the domain's needs without being overly sparse or bloated.

The tool surface provides complete coverage for the domain of AI agent verification and on-chain data access. It includes discovery, detailed identity and bond retrieval, reputation and scoring metrics, protocol-level statistics, and a comprehensive verification tool that integrates all aspects. There are no obvious gaps; agents can perform end-to-end workflows without dead ends.