Security Auditor

eren-solutions/mcp-security-audit

91

Dominant

4 tools · Source: smithery · Scanned: April 18, 2026

Score breakdown

Findability

25/25

Can AI agents discover this tool? Measures naming quality, keyword overlap with queries, and registry presence.

Clarity

30/35

Can agents understand what this tool does? Measures description quality, action verbs, usage context ("Use this when..."), and return value documentation.

Precision

21/25

Is the interface precise? Measures input schema completeness, type definitions, required fields, enums, defaults, and parameter descriptions.

Efficiency

15/15

Is the tool token-efficient? Measures description length optimization, tool count, and naming conciseness.

Optimization status

All

This server is well-optimized for AI agent discovery. Consider adding enums, defaults, and usage examples for marginal gains.

Expected impact: +1-2 pts

Selection Win Rate

33%

Measured via 100-round LLM selection tournament. Claude Sonnet was presented 4 competing tools per round and asked to select the best for a realistic task. This server won 33% of rounds it appeared in.

Layer 2: Real LLM selection data. Methodology →

Trust Verification

0Unverified
📋Spec Verified○ Not yet
91/100Spec Score
RequirementScore ≥ 85 on ToolRank Spec Quality analysis
MethodAutomated static analysis of tool definitions, descriptions, parameters, error handling
RenewalRe-verified on every scan (weekly)
🎯Selection Verified○ Not yet
33%Win Rate
RequirementSelection win rate ≥ 70% in 100-round LLM tournament
MethodClaude Sonnet selects best tool for realistic tasks vs. competing servers
RenewalRe-tested monthly; expires if win rate drops below 60%
Runtime Verified○ Not yet
Status
RequirementTask success rate ≥ 90%, error rate < 5%, avg latency < 2s
MethodEnd-to-end execution tests in sandboxed environment
RenewalContinuously monitored; revoked on sustained failure

Score history

91
Apr 11
91
Apr 14
91
Apr 15
91
Apr 18

Tracked daily. More data points appear as daily scans continue.

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