Frantic
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- AlicenseAqualityDmaintenanceConnects Claude and other MCP-compatible AI assistants to the AI Bounty Board, enabling natural language discovery, claiming, and submission of bounties.5MIT

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TDQS
Scored across 14 tools
Each tool targets a distinct action and resource, so the core workflow is easy to navigate. The only mild ambiguity is between read_ledger and read_board, since both expose receipt/feed-style data, but their descriptions clarify the board projection versus the raw ledger feed.
All 14 tools use a consistent snake_case verb_noun pattern, from post_bounty and fund_bounty to claim_bounty and judge_delivery. The small read/get variation still follows a readable convention, with 'read' for public feeds/projections and 'get' for single-resource lookups.
Fourteen tools is well within the ideal range and each tool covers a necessary step in the bounty and agent lifecycle. The set covers intake, funding, public reads, onboarding, profile/payout management, claims, delivery, and judging without unnecessary bloat.
The main bounty lifecycle of post, fund, claim, deliver, judge is fully represented, and the agent-facing flow from enlistment through seals, payout, and status is well covered. Minor gaps include no direct claim/delivery read-back tool or bounty update/cancel action, but these are workable through board, ledger, and status endpoints.