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3ammiya — Egyptian Arabic Slang Dictionary

search_words

Search the 3ammiya Egyptian Arabic slang dictionary. Accepts Arabic script (عامية), Franco-Arabic (3ammiya), or English (slang). Franco-Arabic numerals (2=ء, 3=ع, 5=خ, 7=ح) are normalized automatically.

Input Schema

NameRequiredDescriptionDefault
limitNoMaximum results to return (1-25, default 10)
queryYesSearch query in Arabic, Franco-Arabic, or English
localeNoPreferred definition language; original-language fallbacks are labeleden

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

With no annotations, the description carries the full burden, and it does add genuinely useful behavior: automatic normalization of Franco-Arabic numerals (2=ء, 3=ع, 5=خ, 7=ح) and multi-script acceptance. It stops short of disclosing result behavior, matching strategy (exact/fuzzy), or any rate/limit context, so it is only partially transparent.

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?

Three tight sentences, front-loaded with the resource scope and followed by the input-format rules. No filler, no repetition of schema fields.

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

Completeness3/5

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

For a search tool with no output schema and no annotations, the input side is well covered, but nothing is said about the shape of results (definitions, labels, count vs limit interaction) or whether matching is exact or partial. An agent can call it, but cannot predict the response.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the baseline is 3. The description earns an extra point by explaining how the query parameter is interpreted in practice, including the numeral-to-letter mapping, which the schema's brief 'Arabic, Franco-Arabic, or English' note does not. It adds nothing for limit or locale.

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 gives a specific verb+resource: searching the '3ammiya Egyptian Arabic slang dictionary', which is a narrower and more informative scope than the name alone. It does not, however, distinguish this from the sibling lookup_word or get_related_words, so an agent must infer the search-vs-lookup boundary.

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 input-format guidance (Arabic, Franco-Arabic, or English), but there is no explicit when-to-use versus lookup_word for an exact match, nor any statement of exclusions or prerequisites. Adequate but leaves routing to inference.

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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