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Glama

fun_translate

Translates text into playful dialects such as Yoda, Pirate, Shakespeare, Minion, Dothraki, and more. Specify the text and dialect to convert ordinary copy into themed speech.

Instructions

Translate text into fun dialects like Yoda, Pirate, Shakespeare, Minion, Dothraki, etc.

Input Schema

NameRequiredDescriptionDefault
textYesText to translate
dialectNoDialect: yoda, pirate, shakespeare, minion, dothraki, valyrian, pig-latin, morse (default yoda)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.1.11

TDQS

B3.4/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden, yet it discloses nothing beyond the transformation itself: no statement on whether the call is read-only/side-effect free, whether it is deterministic, whether it hits a rate-limited external service, or how unsupported dialects or errors are handled. For a tool with zero annotation coverage this is a meaningful gap.

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 sentence, front-loaded with the action and resource, with the dialect examples doing the scoping work. No filler or repetition.

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 simple two-parameter transformation with a fully described schema and no output schema or annotations to reconcile, the description tells an agent enough to call it correctly. It could add a note on supported dialect behavior or output form, but nothing essential 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 'text' and 'dialect' (including the full option list and the default of yoda) are already documented in the schema. The description's only added signal is the 'etc.', which suggests additional dialects may exist beyond the schema list, a marginal but real contribution.

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 states a specific verb and resource ('Translate text into fun dialects') and immediately scopes it as playful via the dialect examples, which distinguishes it from real translation siblings like deepl_translate_text, libretranslate_translate, and mymemory_translate. It stops short of naming those siblings explicitly, so the differentiation is implied rather than stated.

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 only implied: the casual phrasing signals this is for novelty/entertainment text transformation, and the dialect examples hint at appropriate inputs. There is no explicit when-to-use, when-not-to-use, or pointer to a real-translation alternative for non-novelty needs.

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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