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get_translations

Provide a language code to retrieve all translations available in that language from Sefaria's collection of Jewish texts.

Instructions

Get all translations available in a specific language.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
langYesLanguage code (e.g., 'en', 'he', 'es', 'fr').

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.0.0

TDQS

C2.9/5.0
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 burden of behavioral disclosure. It only states that all translations are fetched for a language but does not disclose return format, ordering, pagination, limits, or whether 'all' may be constrained by permissions or data availability.

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 description is a single clear sentence with no filler and front-loads the core action. It is appropriately concise for a simple one-parameter tool, though it could afford a little more behavioral detail without becoming bloated.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no annotations and no output schema, the minimal description leaves important context unstated, such as what a translation entry looks like, how the language parameter relates to the returned data, and how this tool differs from many similar get_* siblings. It is not complete enough for confident tool selection.

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 the lang parameter is already documented with examples and meaning. The tool description adds nothing beyond the schema, which is acceptable under the baseline, but no extra semantic context is provided.

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: 'Get all translations' scoped to 'a specific language' via the lang parameter. This is clear about what the tool does and separates it from siblings like get_languages or get_text, though it does not explicitly name 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 Guidelines2/5

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

No guidance is given about when to use this tool versus related siblings such as get_text, get_languages, or search. The intended use is only implied by the name and description, with no exclusions or alternative routing.

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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