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regex_generate

Converts natural language descriptions into regex patterns. Supports common patterns like email, URL, IP, phone, date, UUID, and more.

Instructions

Generate a regex pattern from a natural language description. Supports common patterns like email, URL, IP, phone, date, UUID, and more.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
descriptionYesDescribe what you want to match, e.g. 'email address' or 'date in YYYY-MM-DD format'
Behavior3/5

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

No annotations are provided, so the description carries the burden. It states the core functionality but does not disclose output format, limitations, or error handling. For a simple tool, this is minimally adequate.

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 no wasted words. The first sentence defines the action, the second gives concrete examples. Perfectly concise.

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

Completeness4/5

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

Given the tool's simplicity (one parameter, no output schema), the description covers the essential purpose and input. It could mention that the output is a regex string, but this is implied.

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?

The schema provides a description for the parameter, but the tool description adds examples of supported patterns (email, URL, IP, etc.), which enriches understanding beyond the 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?

The description clearly states the verb 'generate' and the resource 'regex pattern', and distinguishes from siblings like regex_debug, regex_explain, etc. by focusing on generation from natural language.

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?

The description implies when to use (when you need a regex for common patterns), but does not explicitly list alternatives or when not to use it. The sibling tools provide context, but the description could be more direct.

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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