Evidence-bound second-opinion audit of an agent conclusion against caller-supplied evidence.
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Scored across 5 tools
detective_basic and evidence_judge have overlapping 'audit/review' purposes and nearly identical descriptions, and scenario_council explicitly incorporates a Detective Basic audit, creating redundancy. However, json_doctor and run_python are clearly distinct from the rest.
All tool names use snake_case, which is consistent, but the pattern is mixed: most are noun phrases (detective_basic, evidence_judge, json_doctor, scenario_council) while run_python is verb_noun. Still, the naming is predictable enough for an agent to parse.
Five tools is well within the ideal range (3–15), and each represents a distinct product or utility, so the count is appropriate for the server's apparent scope.
The tools only return checkout contracts and do not execute the underlying products, leaving a significant gap for actual task completion. There is also no tool for product discovery or payment status, though the listed products are individually covered.
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
detective_basicevidence_judgejson_doctorrun_pythonscenario_councilPer-claim evidence-granularity verdicts for agent listings, before you transact.
Second opinion before an irreversible agent action; signed proofs, free verify, public ledger.
Review agent task evidence with sample deduplication, version filters and uncertainty intervals.
Independent AI-agent reviews: trust checks, evidence scorecards, incident registry, recommendations.
Add one secure layer between your agents and this server.
