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navanithbharadwaj/stream

87

Dominant

5 tools · Source: smithery · Scanned: April 18, 2026

Score breakdown

Findability

23/25

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

20/25

Is the interface precise? Measures input schema completeness, type definitions, required fields, enums, defaults, and parameter descriptions.

Efficiency

11/15

Is the tool token-efficient? Measures description length optimization, tool count, and naming conciseness.

Optimization status

Efficiency

Keep total tool count under 15 and individual descriptions under 200 tokens

Expected impact: +1-3 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

1Spec Verified
📋Spec Verified✓ Verified
87/100Spec 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
View full audit log → ![Trust](https://mcp.toolrank.dev/api/trust-badge/b681cd6d-855d-4de6-af5d-e5f93b70aff9.svg)

Score history

87
Apr 2
87
Apr 3
87
Apr 8
87
Apr 9
87
Apr 11
87
Apr 12
87
Apr 13
87
Apr 14
87
Apr 15
87
Apr 16
87
Apr 17
87
Apr 18

Tracked daily. 12 data points.

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