Mcp Security Audit

qianniuspace/mcp-security-audit

86

Dominant

1 tool · Source: smithery · Scanned: May 3, 2026

Score breakdown

Findability

25/25

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

Clarity

24/35

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

Precision

23/25

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

Clarity

Add "Use this when..." context to your description so agents know when to invoke this tool

Expected impact: +3-5 pts

Clarity

Start descriptions with an action verb and document what the tool returns

Expected impact: +5-8 pts

1 more improvement available

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Estimated selection rate

~85%

At 86/100, AI agents select tools like this approximately 85% of the time when choosing between competing alternatives. This server is in the top tier for agent discoverability.

Based on 500-round selection simulation (Pearson r = 0.828). Methodology →

Trust Verification

1Spec Verified
📋Spec Verified✓ Verified
86/100Spec 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
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

86
Apr 11
86
Apr 12
86
Apr 13
86
Apr 19
86
Apr 20
86
Apr 21
86
Apr 22
86
Apr 23
86
Apr 24
86
Apr 25
86
Apr 26
86
Apr 27
86
Apr 28
86
Apr 29
86
Apr 30
86
May 1
86
May 2
86
May 3

Tracked daily. 18 data points.

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