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vinkius-labs

Regex Toolkit MCP Server

Official
by vinkius-labs

extract_pattern

Extract emails, URLs, or phone numbers from raw text blocks to harvest specific PII or links.

Instructions

[INSTRUCTIONS] Use this tool to harvest specific PII or links from raw text blocks.

Extracts all unique emails, URLs, or phone numbers from a large body of text.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesThe raw input text.
typeYesThe pattern to extract: "email", "url", or "phone".
Behavior4/5

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

The description adds behavioral context beyond the annotations (destructiveHint: false) by stating it extracts 'all unique' items, implying a read-only, non-destructive operation. No contradiction with annotations.

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 concise sentences with front-loaded key information. Every sentence adds value; no wasted words.

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?

The description explains what the tool returns (all unique emails, URLs, or phone numbers) and requires no output schema. It is complete for the tool's simplicity.

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%. The description does not add meaning beyond the schema's parameter descriptions. Baseline score of 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?

The description uses a specific verb ('harvest' and 'extract') and resource ('PII or links', 'emails, URLs, or phone numbers') and clearly distinguishes from sibling tools (mask_sensitive_data, validate_pattern) by focusing on extraction.

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 provides clear context for when to use the tool: 'harvest specific PII or links from raw text blocks'. It does not explicitly state when not to use it or list alternatives, but the context is 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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