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lazymac2x

lazymac-mcp

regex_toolkit

Test, match, explain, and generate regular expression patterns using plain English descriptions for pattern creation and analysis.

Instructions

Test, match, explain, and generate regex patterns in plain English

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paramsNoFree-form params object — passed as query string for GET, JSON body for POST
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. While it mentions four operations (test, match, explain, generate), it doesn't describe what each operation does, their outputs, error conditions, rate limits, authentication needs, or any side effects. The 'plain English' aspect is mentioned but not elaborated.

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?

The description is extremely concise - a single sentence that efficiently lists all four core capabilities plus the plain English feature. Every word earns its place with no redundancy or unnecessary elaboration.

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

Completeness2/5

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

For a tool with no annotations, no output schema, and a generic input schema that provides minimal guidance, the description is insufficient. It doesn't explain what the tool returns, how operations differ, error handling, or provide enough context for an agent to properly invoke it despite the tool's apparent complexity (multiple operations with different parameter needs).

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

Parameters2/5

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

The schema has 100% description coverage but only documents a generic 'params' object with free-form content. The description adds no parameter-specific information beyond what the schema already states - it doesn't explain what parameters each operation expects, their formats, or examples of valid inputs for testing, matching, explaining, or generating regex patterns.

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

Purpose4/5

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

The description clearly states the tool's purpose with specific verbs (test, match, explain, generate) and resource (regex patterns), plus the additional capability of plain English interaction. It doesn't distinguish from sibling tools, but none of the listed siblings appear to be regex-related, so differentiation isn't needed here.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives or in what context it should be applied. It simply lists capabilities without indicating appropriate use cases, prerequisites, or limitations.

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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