MCP Market Russia
devids77/mcp-market-russia
87
Dominant
10 tools · Source: smithery · Scanned: April 11, 2026
Score breakdown
Findability
24/25
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
18/25
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
Define required fields in your inputSchema to prevent agents from guessing parameters
Expected impact: +2-3 pts
Estimated selection rate
~85%
At 87/100, 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
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