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x402node_dev_regex-test

Test regex patterns against text, extract matches with capture groups and indices. Validate text, parse logs, or extract patterns programmatically.

Instructions

Regex tester / regular expression validator / pattern matcher / capture group extractor / regex debug / JavaScript regex / find-all matches / regex 101 alternative / regex playground / PCRE-like. Test any regex pattern against text. Returns all matches with capture groups and indices. For AI agents, pattern extraction, text validation, log parsing.

Price: unknown on Base (auto-paid in USDC).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
flagsNoRegex flags: g, i, m, s, u, y (optional)
patternYesRegex pattern (required, JavaScript syntax)
textYesTest string (required)
Behavior3/5

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

With no annotations, the description carries full burden. It states that the tool returns matches, capture groups, and indices, and mentions it uses JavaScript regex. However, it does not disclose what happens on invalid patterns, whether it is read-only, or any side effects. This is adequate but not thorough.

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

Conciseness3/5

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

The description starts with a long list of synonyms that is redundant. While the core message is clear, the initial clutter reduces conciseness. The rest is relatively compact. Could be trimmed to fewer words without losing meaning.

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 (3 params, no output schema, no annotations), the description covers purpose, output type, and example use cases. It is nearly complete, but lacks explicit mention of error handling or safety guarantees, leaving minor gaps.

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 flags, pattern, and text. The description adds nothing beyond the schema for parameter semantics; it only restates the tool's general function. Hence 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 clearly states that the tool tests regex patterns against text and returns all matches with capture groups and indices. It also lists multiple synonyms and use cases, making the purpose unmistakable and distinguishing it from all sibling tools which are unrelated.

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 says 'Test any regex pattern against text' and provides use cases like pattern extraction and text validation. While it does not explicitly contrast with alternatives, the sibling tools are all different domains (Chinese astrology, crypto, etc.), so usage context is clear. A slight deduction for lacking explicit when-not-to-use guidance.

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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