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schwarztim

john-the-ripper-mcp

by schwarztim

john_rules

List John the Ripper mangling rule sections or test specific rules against custom words to preview password mutations for security audits.

Instructions

List available mangling rules or test rules against words

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
listNoList available rule sections
test_rulesNoRule section to test (e.g., Single, Wordlist, Extra)
test_wordsNoWords to test the rules against
Behavior2/5

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

With no annotations, the description carries the full burden. It indicates read-like operations but does not explicitly state non-destructiveness, nor does it explain interactions between the list and test modes (e.g., whether they are mutually exclusive or how output is presented).

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?

A single, front-loaded sentence conveys the tool's two capabilities without redundancy. Every word is useful, making it appropriately concise.

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?

Given the absence of annotations and an output schema, the description is too sparse. It does not explain expected outputs, parameter combinations (e.g., what happens if both list and test_rules are set), or any error conditions, leaving the agent without sufficient behavioral context.

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 description coverage is 100%, so the baseline is 3. The description adds no extra meaning beyond what the schema already provides—it essentially restates the parameter purposes without clarifying relationships or defaults.

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 two distinct actions: listing available mangling rules and testing rules against words. This is specific to rule management and differentiates from sibling tools like john_crack or john_show.

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 does not provide any guidance on when to use this tool versus alternatives. It does not mention dependencies, prerequisites, or situations where listing versus testing rules is appropriate.

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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