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Write a name in Arabic calligraphy

write_name_in_arabic
Read-onlyIdempotent

Writes a first name or full name in Arabic script and shows it in six Arabic calligraphy styles (Naskh, Ruqʿah, Kufi, Modern, Bold display, Ornamental) with a PNG download. Use when the user wants their name, or someone else's name, written or drawn in Arabic, Arabic calligraphy, or Arabic letters — for example for a tattoo, gift, card, or wall art. Handles Arabic names (Mohamed, Fatima), French and English names (Charles, Kevin, Chloé) and compound names. Returns the Arabic spelling, the vowelled form, other accepted spellings, the meaning when the name is in the name list, and whether a spelling is written by sound. The result is shown in a widget with the six styles, so keep the reply short and do not reproduce the calligraphy styles in text. Not for translating sentences or general Arabic text.

Input Schema

NameRequiredDescriptionDefault
nameYesThe name to write, in Latin letters as the user spells it (e.g. 'Sarah', 'Jean-Pierre', 'Mohamed Ali').
languageNo'fr' when the user writes in French or the name should be read with French pronunciation (Charles → شارل); otherwise 'en'.

Output Schema

NameRequiredDescriptionDefault
langYes
inputYes
matchYes
partsYes
arabicYes
lettersYes
toolUrlYes
vowelledYes
alternativesYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.6/5.0
Behavior5/5

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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive, not open-world), so the bar is low — yet the description adds substantial context: the returned data (Arabic spelling, vowelled form, alternate spellings, meaning, sound-based spelling) and, importantly, the widget delivery plus the instruction to keep the reply short and not reproduce styles in text.

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?

Front-loaded with purpose, styles, and the primary use case; the returns and the reply-format caution follow in logical order. It is somewhat dense in the middle (the enumeration of returned fields), but no sentence is filler.

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?

An output schema exists, yet the description still flags the key behavioral detail an agent needs — the result renders in a widget and the text reply should stay short and avoid restating the calligraphy. Combined with use-case framing and explicit exclusions, 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 — including the 'fr' vs 'en' pronunciation rule and compound-name examples like 'Jean-Pierre'. The description's mention of French/English/compound names and Arabic names largely restates that, adding little syntax or format meaning beyond the schema. Baseline 3 applies.

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?

Specific verb (writes), specific resource (a first/full name in Arabic script), and explicit scope (six named calligraphy styles plus PNG download). With no siblings, nothing else is needed to identify it; the description also states the visual output format up front.

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?

Gives concrete when-to-use triggers ('when the user wants their name, or someone else's name, written or drawn in Arabic ... for example for a tattoo, gift, card, or wall art') and an explicit exclusion ('Not for translating sentences or general Arabic text'). The agent knows both the trigger and the boundary.

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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