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Leet Speak

LeetSpeak
Read-only

Leet Speak: Leet Speak translates plain text into leet speak or reverses obfuscated strings back to standard words. Submit any string with an encode or decode mode to receive the converted text and a count of changed characters. (Cost: 1 credit)

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "text": "<text>"
    },
    "name": "LeetSpeak"
  }
}

Input Schema

NameRequiredDescriptionDefault
modeNoThe mode to use
textYesThe text to encode or decode in Leet Speak

Output Schema

NameRequiredDescriptionDefault
dataNo
errorNoError message, null on success
statusNo"ok" on success

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=true, so safety is covered. The description adds genuinely new behavioral context beyond those annotations: the response includes the converted text plus a count of changed characters, and each call costs 1 credit — a constraint an agent should factor into usage decisions.

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

Conciseness4/5

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

Three short sentences, front-loaded with the transformation and followed by the input contract and the cost. The only waste is the redundant 'Leet Speak: Leet Speak translates' repetition at the start; everything else earns its place.

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?

For a two-parameter, single-purpose text transformer with an output schema already present, the description covers purpose, both modes, and cost, which is enough to call it correctly. It stops short of describing error behavior (e.g. undecodable input) or output shape, but the output schema makes the latter unnecessary.

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

Parameters4/5

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

Schema coverage is 100%, so a baseline of 3 would be acceptable, but the description earns more by revealing that the 'mode' parameter accepts specifically 'encode' or 'decode' — information the schema itself only gestures at with the vague 'The mode to use' and a single 'encode' example. It also clarifies that 'text' is the string to be transformed in either direction.

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 names a specific verb pair (translates / reverses) and the exact resource (plain text to leet speak and back), so the agent knows precisely what the tool produces. It is clearly distinguishable from neighbouring text tools such as PigLatin, MorseCode, or ReverseText because the leet-speak transformation is stated explicitly.

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

Usage Guidelines3/5

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

Usage is implied by 'Submit any string with an encode or decode mode', which tells the agent the two operating contexts, and the credit cost gives a reason to use it sparingly. However, there is no explicit when-to-use versus when-not guidance and no named alternative among the many sibling text-transformation tools.

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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