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Kabbalah MCP Server by RoxyAPI

List gematria ciphers - gematria methods API with provenance on every row

get_kabbalah_ciphers
Read-only

Return the full catalogue of gematria methods this API computes: eleven rabbinic ciphers, two substitution transformations, and the three Latin alphabet ciphers, each with its definition, its provenance class, the century of its tradition and the sources it was taken from. Every entry states whether it is rabbinic or a Renaissance Christian or modern Latin cipher, so a product never presents one tradition as the other. Built for calculators that want to show a reader which method produced a number and where the method comes from.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
langNoResponse language (BCP 47). Supported: en, tr, de, es, hi, pt, fr, ru, zh-Hans, zh-Hant. Defaults to en. Coverage varies by domain, and a field with no translation in the requested language returns English.en
compactNoSet true for the same data in a compact shape: arrays of same-shaped objects arrive columnar as {"__cols":[names],"__rows":[[values]]}. Lossless, typically 40 to 52 percent fewer tokens.

Schema Changelog

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

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already mark this as read-only and non-destructive, and the description adds useful behavior beyond that: every entry includes definition, provenance class, century, and sources, and the API deliberately prevents conflating rabbinic and Christian/modern traditions. It does not discuss edge cases or limitations, but for a static catalogue list the core behavior is disclosed.

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 few sentences long and front-loads the main action and scope before adding context about provenance and intended audience. It is slightly dense, but no sentence is wasted.

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?

With no output schema and a simple list endpoint, the description carries the burden of describing the return payload. It specifies the categories, the per-entry fields, and the semantic guarantee about provenance, which is enough for an agent to select and invoke the tool correctly.

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?

Both parameters (lang, compact) are fully described in the schema, so the description does not need to repeat them. The description itself adds no parameter-level guidance, which meets the baseline for 100% schema coverage.

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?

Starts with a strong verb and concrete object ('Return the full catalogue of gematria methods') and enumerates the exact scope: eleven rabbinic ciphers, two substitution transformations, and three Latin alphabet ciphers. This makes the tool clearly distinct from sibling endpoints focused on names, letters, daily readings, and birth profiles.

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?

The description names the intended use case: calculators that need to show which method produced a number and where the method comes from. It does not explicitly contrast with sibling tools or say when not to use it, but the resource type itself differentiates it clearly.

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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TDQS

A4.2/5.0
Disambiguation4/5

Most tools are cleanly separated by resource and verb: collection/detail variants exist for letters and names, tree vs single sephirah is clear, and compute endpoints are distinct. The only meaningful overlap is post_kabbalah_gematria and post_kabbalah_name_profile, which both score a name across gematria ciphers and display candidate Hebrew spellings; the descriptions differentiate their outputs but an agent could easily select the wrong one.

Naming Consistency5/5

Every tool follows the same verb_kabbalah_resource pattern, with get_ for reference lookups and post_ for computations. snake_case is used throughout, and detail variants are marked consistently with _id or _number.

Tool Count5/5

Twelve tools is well within the ideal range and each tool covers a distinct area: catalogues, letters, names, sephirot/tree, daily Omer, and name calculations. The surface is broad enough to be useful without feeling inflated.

Completeness5/5

The API covers the core domain comprehensively: reference data for ciphers, letters, 72 names, sephirot/tree, dated Omer count, and the main name-scoring operations including compatibility. CRUD is not applicable for a read-only/compute server, and get_kabbalah_tree already provides collection-level sephirot data, so there are no obvious dead ends.

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