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Agent Tool Optimization

Are AI agents choosing your tools?

97% of MCP tool descriptions have quality defects. Optimized tools get selected 3.6x more. ToolRank scores and fixes your tool definitions so agents pick you first.

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SEO got you found. LLMO got you cited. ATO gets you used.

Stage 0

SEO

Human searches Google. Your page appears.

Result: a click
Stage 1

LLMO

Human asks AI. Your brand is mentioned.

Result: a mention
Stage 2+3

ATO

Agent autonomously acts. Your API is called.

Result: a transaction

Four dimensions of agent-readiness

ToolRank Score measures each dimension separately so you know exactly what to fix.

Findability · 25%

Can agents discover you? Registry presence, tags, llms.txt.

Clarity · 35%

Can agents understand you? Description quality, purpose, usage context.

Precision · 25%

Is your interface precise? Schema types, enums, error handling.

Efficiency · 15%

Are you token-efficient? Context cost, tool count, modularity.

97.1% of MCP tools have description defects
3.6x selection advantage with optimization
10,000+ MCP servers competing for selection

Sources: arXiv 2602.14878, arXiv 2602.18914, Anthropic MCP ecosystem data

Check your score in 10 seconds

Paste your MCP tool definition or server URL. Get your ToolRank Score with specific fixes.

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Frequently asked questions

What is ATO (Agent Tool Optimization)?

ATO is the practice of optimizing your tools, APIs, and services so AI agents can discover, select, and execute them autonomously. Unlike SEO (for search engines) or LLMO (for LLM citations), ATO focuses on the complete agent selection pipeline. LLMO covers only Stage 1. ATO is the complete picture.

How is ATO different from LLMO?

LLMO optimizes for mentions — getting your brand cited in AI responses. ATO optimizes for execution — getting your API actually called by agents. The difference is between advertising and transactions.

What is ToolRank Score?

ToolRank Score is a 0-100 metric measuring how likely AI agents are to discover and select your MCP tools. It evaluates four dimensions: Findability, Clarity, Precision, and Efficiency. Research shows optimized tools achieve 72% selection probability versus a 20% baseline.

Is ToolRank free?

Yes. The ToolRank Score diagnosis is free. The ATO framework and scoring logic are open source. Pro features are available via paid plans.