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Glossary

AI Agent Tool Routing

AI agent tool routing is the prompt logic and naming convention that decides which of the agent's available tools gets called per query, especially when 3+ tools cover overlapping capabilities (search APIs, browsers, internal databases).

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Definition

AI agent tool routing is the prompt logic and naming convention that decides which of the agent's available tools gets called per query, especially when 3+ tools cover overlapping capabilities (search APIs, browsers, internal databases).

In Depth

An agent with five tools that all sound like 'fetch web data' will pick incorrectly half the time. Tool routing fixes this through (1) explicit naming (`scavio_search` vs `browserbase_navigate`), (2) routing prompts that say when to use which (`for indexed targets use Scavio, for auth-gated use Browserbase`), and (3) tool descriptions that double as routing signals. Routing improves agent reply quality more than any other intervention. Honest constraint: routing prompts decay as the tool list grows past ~7-8 tools; beyond that, an explicit router agent (a small first-pass LLM call that picks the tool) outperforms inline routing.

Example Usage

Real-World Example

After adding tool routing prompts, the agent's correct-tool-pick rate climbed from ~50% to ~90% on ambiguous queries that could go to either Scavio search or Browserbase navigate.

Platforms

AI Agent Tool Routing is relevant across the following platforms, all accessible through Scavio's unified API:

  • google

Related Terms

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Model Context Protocol (MCP)

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Frequently Asked Questions

AI agent tool routing is the prompt logic and naming convention that decides which of the agent's available tools gets called per query, especially when 3+ tools cover overlapping capabilities (search APIs, browsers, internal databases).

After adding tool routing prompts, the agent's correct-tool-pick rate climbed from ~50% to ~90% on ambiguous queries that could go to either Scavio search or Browserbase navigate.

AI Agent Tool Routing is relevant to google. Scavio provides a unified API to access data from all of these platforms.

An agent with five tools that all sound like 'fetch web data' will pick incorrectly half the time. Tool routing fixes this through (1) explicit naming (`scavio_search` vs `browserbase_navigate`), (2) routing prompts that say when to use which (`for indexed targets use Scavio, for auth-gated use Browserbase`), and (3) tool descriptions that double as routing signals. Routing improves agent reply quality more than any other intervention. Honest constraint: routing prompts decay as the tool list grows past ~7-8 tools; beyond that, an explicit router agent (a small first-pass LLM call that picks the tool) outperforms inline routing.

AI Agent Tool Routing

Start using Scavio to work with ai agent tool routing across Google, Amazon, YouTube, Walmart, and Reddit.

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