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
Add "Use this when..." context to your description so agents know when to invoke this tool
Expected impact: +3-5 pts
Start descriptions with an action verb and document what the tool returns
Expected impact: +5-8 pts
1 more improvement available
Unlock all fix suggestions, rewrite proposals, and priority recommendations.
Upgrade to Pro →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
Score history
Tracked daily. 18 data points.
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