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Jambozx

OnlineCyberTools MCP (280+ filterable tools)

text_text_randomizer

Read-only

Randomize text by shuffling words, lines, characters, sentences, or paragraphs. Optionally use a seed for reproducible results.

Instructions

Randomize and Shuffle Text. Randomly shuffle the contents of text in one of five modes set by randomizeType: 'words', 'lines' (default), 'characters', 'sentences', or 'paragraphs'. Use this to scramble word/line/character order for puzzles, test fixtures, or anonymizing sample data; unlike text_sort_lines (deterministic ordering) and reverse_text (exact reversal), the order here is non-deterministic unless you pass an integer seed for a reproducible shuffle. Optional preserveFormatting keeps line breaks/whitespace in place (applies only to the 'words' and 'characters' modes). Runs locally on the input you provide: read-only, non-destructive, contacts no external service, and is rate-limited (60 requests/minute for anonymous callers). Returns the randomized text plus before/after statistics and the effective options.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesThe text to randomize. Must not be blank (an empty value returns a 400 error).
randomizeTypeNoWhat unit to shuffle. Unrecognized values return the input text unchanged.lines
preserveFormattingNoWhen true, keeps line breaks and whitespace positions; only affects the words and characters modes.
seedNoOptional integer seed for a reproducible shuffle. Omit or null for true randomness via Math.random.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
successNoWhether randomization succeeded.
resultNoThe randomized output text.
statsNoBefore/after metrics and per-mode randomization counts.
optionsNoThe effective options after defaults were applied.
Behavior5/5

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

Annotations already indicate read-only and non-destructive, but the description adds key behavioral details: runs locally, contacts no external service, rate-limited to 60 req/min, and returns statistics along with the randomized text. 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?

The description is two well-structured paragraphs. First paragraph introduces purpose, modes, and sibling differentiation. Second covers behavioral constraints and return info. Every sentence adds value; no redundancy.

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?

Given the tool has an output schema (mentioned in context), the description appropriately summarizes return values. It covers all essential aspects: modes, default, seeding, formatting options, local execution, rate limits, and sibling comparisons.

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 baseline is 3. The description reiterates the enum modes and default, and adds that preserveFormatting only applies to words/characters modes (already in schema). It does not add significant new meaning 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 tool randomizes/shuffles text with five specific modes (words, lines, characters, sentences, paragraphs). It explicitly distinguishes from siblings text_sort_lines and reverse_text by contrasting deterministic vs. non-deterministic behavior.

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

Usage Guidelines5/5

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

The description gives explicit use cases: puzzles, test fixtures, anonymizing data. It also contrasts with sort_lines (deterministic) and reverse_text (exact reversal), and explains when to use a seed for reproducibility.

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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