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Pig Latin

PigLatin
Read-only

Pig Latin: Pig Latin translates English text into Pig Latin while preserving designated words from transformation. Pass any sentence along with an optional exclusion list to receive the encoded phrase and confirmed skipped terms. (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": "PigLatin"
  }
}

Input Schema

NameRequiredDescriptionDefault
textYesThe text to encode in Pig Latin
exclusionsNoWords to exclude from encoding

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

A3.8/5.0
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 the safety profile is covered. The description adds value beyond that by disclosing the cost (1 credit) and the shape of the result — the encoded phrase plus confirmed skipped terms — which prepares the agent for what comes back.

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?

The purpose and the input contract are front-loaded in a single sentence, with the cost tacked on in parentheses where it is easy to find. The opening 'Pig Latin: Pig Latin translates' repeats the tool name redundantly, a small blemish on an otherwise tight definition.

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?

For a two-parameter transformation tool this is complete: annotations carry the safety profile, an output schema covers return structure, the schema documents both inputs, and the description adds the non-obvious cost and the fate of excluded words. Nothing needed to call it correctly is missing.

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 both parameters are already documented in structured data, making 3 the baseline. The description adds only marginal meaning by framing 'exclusions' as words preserved from transformation and echoed back as confirmed skipped terms.

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 gives a specific verb and resource — translating English text into Pig Latin — and adds the distinguishing behavior of preserving designated words from transformation. It is clear enough to separate this from generic text-transform siblings like LeetSpeak or MorseCode, though it never names an alternative.

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?

'Pass any sentence along with an optional exclusion list' implies the calling pattern but gives no explicit when-to-use versus when-not guidance, and no routing to closely related tools such as LeetSpeak, Gibberish success or TextStyler. Usage is inferable but not directed.

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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