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Ask any 'is it halal' question

ask_is_it_halal
Read-onlyIdempotent

Ask any 'is it halal' question. Covers money (savings, credit cards, mortgages, BNPL, insurance, pensions, trading), crypto, medicine, food and drink, and everyday life (music, dogs, tattoos, nail polish, smoking, games, photos, jobs). Returns the verdict, the main scholarly views and halal alternatives. Also recognises single ingredients and E-numbers.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qYesThe question in plain words, for example 'Is a credit card halal?'

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 declare readOnly, idempotent, openWorld and non-destructive, so the safety bar is low. The description still adds real behavioural context: it returns a verdict, the main scholarly views, and halal alternatives, and accepts raw ingredients/E-numbers. It stops short of saying answers reflect scholarly opinion rather than a definitive ruling.

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?

Front-loaded with the core purpose, then scope and return content. The long parenthetical category list is dense but each item expands the discoverable domain, so it largely earns its place.

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 one-parameter Q&A tool with no output schema, the description covers input scope, expected output shape and domain breadth, while annotations cover the safety profile. A note on how authoritative/definitive the verdict is would complete it.

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 coverage is 100% and the single parameter is documented with an example, so the baseline is 3. The description goes further by defining the acceptable input space — free-form questions plus single ingredients and E-numbers — which meaningfully supplements the schema's generic 'plain words' instruction.

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?

States a clear verb+resource ('Ask any is it halal question') and enumerates the domains it covers, so an agent understands this is the general-purpose free-form question tool. It does not explicitly contrast itself with the specific siblings (check_crypto, check_fund, screen_stock, check_ingredients), which is the only thing keeping it from a 5.

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?

The domain list implies when the tool is applicable, but there is no explicit guidance on when to prefer it over the granular siblings (e.g. a specific stock vs a general question). Usage is inferred rather than stated.

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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