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Pylon Server

marcinwyszynski/pylon-mcp

93

Dominant

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

Score breakdown

Findability

24/25

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

Clarity

33/35

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
93/100Spec 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
View full audit log → ![Trust](https://mcp.toolrank.dev/api/trust-badge/68baec69-f92f-4377-bca8-18edb71e6cdf.svg)

Score history

93
Apr 11
93
Apr 12
93
Apr 13
93
Apr 19
93
Apr 20
93
Apr 21
93
Apr 22
93
Apr 23
93
Apr 24
93
Apr 25
93
Apr 26
93
Apr 27
93
Apr 28
93
Apr 29
93
Apr 30
93
May 1
93
May 2
93
May 3

Tracked daily. 18 data points.

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