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Markdown Downloader

dazeb/markdown-downloader

89

Dominant

5 tools · Source: smithery · Scanned: April 11, 2026

Score breakdown

Findability

25/25

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

Clarity

27/35

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

Clarity

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

Expected impact: +3-5 pts

Selection Win Rate

50%

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 50% of rounds it appeared in.

Layer 2: Real LLM selection data. Methodology →

Trust Verification

0Unverified
📋Spec Verified○ Not yet
89/100Spec 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
50%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/4c02d75f-5e7f-427a-a957-7f9cac62bdcd.svg)

Score history

89
Mar 28
89
Mar 28
89
Mar 29
89
Mar 29
89
Mar 29
89
Mar 30
89
Mar 31
89
Apr 1
89
Apr 2
89
Apr 3
89
Apr 4
89
Apr 5
89
Apr 6
89
Apr 11

Tracked daily. 14 data points.

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