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Google Docs

googledocs

86

Dominant

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

Score breakdown

Findability

25/25

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

Clarity

26/35

Can agents understand what this tool does? Measures description quality, action verbs, usage context ("Use this when..."), and return value documentation.

Precision

22/25

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

Efficiency

12/15

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

Estimated selection rate

~85%

At 86/100, 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

0Unverified
📋Spec Verified○ Not yet
86/100Spec 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/fa1b7d89-3d47-49d9-ba64-210fa4924333.svg)

Score history

86
Mar 28
86
Mar 28
86
Mar 29
86
Mar 29
86
Mar 29
86
Mar 30
86
Mar 31
86
Apr 1
86
Apr 2
86
Apr 3
86
Apr 4
86
Apr 5
86
Apr 6
86
Apr 7
86
Apr 8
86
Apr 11
86
Apr 12
86
Apr 13
86
Apr 14
86
Apr 15
86
Apr 16
86
Apr 17
86
Apr 18

Tracked daily. 23 data points.

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