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route_tool

Routes natural language tasks to recommended tools with activation order and example arguments for automated workflow discovery and guidance.

Instructions

One-stop tool router: accepts a natural language task description, returns recommended tools and next actions. Automatically detects workflow patterns, recommends activation order, and provides example arguments. Use this instead of search_tools when you want guided tool discovery with actionable next steps.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
taskYesNatural language description of the task you want to accomplish
contextNoOptional context hints for routing
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, so description fully carries behavioral disclosure. It explains that the tool detects workflow patterns, recommends activation order, and provides example arguments, going beyond simple I/O to explain internal processing.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences with clear front-loading: first sentence defines purpose, second sentence adds usage guidance. No redundant information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

No output schema; description mentions 'returns recommended tools and next actions' but lacks details on output format, structure, or how to interpret results. For a tool whose primary output is recommendations, this is a notable gap.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with clear descriptions for 'task' and 'context'. Description does not add further semantic detail beyond what schema already provides, so baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states tool is a router that accepts a task description and returns recommended tools/actions. It explicitly distinguishes from sibling search_tools, providing specific verb+resource: natural language task to tool recommendations.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly says 'Use this instead of search_tools when you want guided tool discovery with actionable next steps', providing clear context for when to use this tool. Could be stronger by stating conditions for using alternatives like search_tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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