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Glama

Word by word

word_by_word
Read-only

Each word of an ayah: its Latin reading and its meaning, in English or one of the other languages that have word meanings.

Input Schema

NameRequiredDescriptionDefault
ayahYes
surahYesSurah number, 1-114
languageNoLanguage code for the meanings; default "en"

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already establish that this is a safe, read-only, non-open-world operation. The description adds useful behavioral context by stating that the tool returns per-word Latin reading and meaning, and that language availability depends on which languages have word meanings.

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?

The description is a single efficient sentence with no wasted text. The key output concept is front-loaded: each word of an ayah, its Latin reading and meaning.

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 read-only lookup with no output schema, the description gives enough context about what is returned and the language scope. It could be more complete by describing the response shape or listing supported language codes, but it is adequate for correct invocation.

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 coverage is moderate at 67%, with surah and language partially described in the schema. The description adds meaning for the language option by noting English and other languages with word meanings, but it does not explain the ayah parameter or enumerate valid language codes.

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 clearly states the resource and granularity: each word of an ayah, including Latin reading and meaning. It distinguishes itself implicitly from verse-level tools like get_ayah and get_tafsir by focusing on word-level output, though it does not name those siblings explicitly.

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 implied by the word-by-word scope, but there is no explicit guidance on when to choose this tool over get_ayah or get_tafsir. The agent can infer the use case, but no alternatives or exclusions are provided.

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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