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Halal or Not: Every question the rulebook covers

halalornot_list_topics
Read-onlyIdempotent

Halal or Not. Every question the rulebook covers. Answers 'is it halal?' for food, cosmetics, medicines, stocks, funds, crypto, money products and everyday life, showing where the four Sunni schools and the main scholarly bodies agree and where they differ, with the reasoning and halal alt...

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
categoryNoOnly topics in this area: money, crypto, medicine, food or life.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.8/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds that results show where the four Sunni schools and main scholarly bodies agree and differ, with reasoning and alternatives, which is useful content context. It stops short of describing result format or pagination, which is a minor gap given a read-only list tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The opening two fragments ('Halal or Not. Every question the rulebook covers.') simply repeat the tool name and title before any operative content, which is wasteful front-loading. The remainder is a single long sentence that packs scope detail but is truncated, so the structure is adequate rather than efficient.

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 read-only list tool with one optional, fully documented enum parameter and no output schema, the minimum bar is met: the scope of covered subject areas is stated. However, the absence of any usage guidance relative to the many halalornot siblings leaves an agent without enough to reliably choose this tool over halalornot_list_rules or the specific check tools.

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% with a single optional enum parameter (money, crypto, medicine, food, life), so the schema already carries the parameter semantics. The description references the same domains (food, cosmetics, medicines, stocks, funds, crypto, money products, everyday life) but adds no syntax or filtering detail beyond what the schema states. Baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description conveys that this tool surfaces the topics/questions the rulebook covers (food, cosmetics, medicines, money, crypto, life), which aligns with a list operation, but it phrases the purpose as answering 'is it halal?' rather than enumerating topics. It does not distinguish itself from close siblings like halalornot_list_rules or halalornot_ask_is_it_halal, leaving the agent to infer which list is which.

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?

There is no when-to-use guidance and no mention of alternatives. With siblings such as halalornot_list_rules and halalornot_ask_is_it_halal in scope, the description never explains when to enumerate topics versus query a specific item or fetch the rule list, so selection is left entirely 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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