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Glama

HebrewCore by baba Hebrew

Transliterate Hebrew ↔ Latin

transliterate

Romanize Hebrew into Latin letters (direction: "he-to-latin", the default), or write Latin spelling in Hebrew letters (direction: "latin-to-he") for name entry and search. Up to 5,000 characters. Uses the monthly character quota.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesText to transliterate, up to 5,000 characters.
directionNo`he-to-latin` (default) romanizes Hebrew. `latin-to-he` writes Latin spelling in Hebrew letters, for name entry and search.he-to-latin

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
textNoThe input.
schemeNoRomanization scheme used.
directionNoDirection used.
transliterationNoThe transliterated text.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Discloses two behavioral facts beyond annotations and schema: the 5,000-character limit (restated as operational context despite also being in schema maxLength) and the non-obvious 'Uses the monthly character quota', which is important for an agent deciding whether to call this in a loop or batch. All four annotation hints are false, so the description carries the burden and largely meets it.

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?

Two sentences, roughly 40 words, front-loaded with the core operation and direction semantics before the limits and quota. Every clause carries information; there is no filler or redundant restatement of the tool name.

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 low-complexity 2-param tool with complete schema coverage and an output schema present, the description adequately covers direction options, the length limit, and quota cost. The only minor gap is not explicitly routing agents to translate when semantic meaning conversion is intended, but that omission is low-risk given the self-explanatory name.

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%: both text and direction are fully documented with defaults, examples, and enums. The description restates the direction semantics and the name-entry/search use case, but adds no parameter detail beyond the schema, so the baseline 3 is appropriate.

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?

States precise bidirectional behavior: 'Romanize Hebrew into Latin letters' and 'write Latin spelling in Hebrew letters', clearly identifying script conversion rather than language translation. This distinguishes it from the translate sibling and from Hebrew-text utility tools like add_nikud/strip_nikud without ambiguity.

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

Usage Guidelines4/5

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

Provides clear context for both directions, explicitly tying latin-to-he to 'name entry and search' and noting the he-to-latin default. However, it never names alternatives or states when not to use it (e.g., that translate is the correct sibling when meaning conversion, not script conversion, is needed), so explicit exclusions are absent.

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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