aidroid

ren89752/aidroid

Dominant

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

Score breakdown

Findability

25/25

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

Clarity

34/35

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

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

Estimated selection rate

~85%

At 97/100, 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 →

📋Spec Verified○ Not yet

97/100Spec 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

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Tracked daily. 30 data points.

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aidroid

Score breakdown

Optimization status

Estimated selection rate

Trust Verification

Score history

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