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AI Patent Search

query

Generate an optimized Boolean search query for Google Patents from a natural-language invention description. Returns only the query string, without executing the search.

Instructions

Generate a single optimized Boolean search query for Google Patents from a natural-language description of an invention or technology. Returns the Boolean string only — does NOT execute the search. Use search if you want ranked hits instead. Costs 1 credit.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
descriptionYesNatural-language description of the invention or technology area (e.g. 'foldable smartphone display with ultrasonic fingerprint sensor'). Minimum 10 characters.
Behavior4/5

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

No annotations provided, but description discloses that it does not execute search, returns only the Boolean string, costs 1 credit, and requires minimum 10 characters. Adequately transparent for a non-destructive tool.

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?

Three sentences, front-loaded with purpose, no redundancy. Each sentence adds necessary information.

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

Completeness5/5

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

For a simple tool with one parameter and no output schema, the description covers purpose, usage hint, cost, and sibling differentiation completely.

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

Parameters4/5

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

Schema coverage is 100% with one parameter. Description adds natural-language context, example, and minimum character constraint, adding value beyond schema.

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 the tool generates a Boolean search query for Google Patents, explicitly says it does not execute the search, and distinguishes from sibling 'search'.

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?

Provides clear guidance to use this for query generation and 'search' for ranked hits, plus mentions credit cost. Could be more explicit about when not to use, but sufficient.

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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