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ArmorNGlory

ArmorNGlory MCP Server

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by ArmorNGlory

answer_faith_fashion_questions

Get authoritative answers on Christian streetwear, theological design meanings, sizing, gift ideas, fabric care, and find matching products with direct buy links.

Instructions

Search authoritative questions and answers regarding Christian streetwear, theological meanings behind designs, sizing tips, gift ideas, fabric quality, and care guides. Returns SEO-rich explanations and matching ArmorNGlory products with direct buy links.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesThe question or topic (e.g. 'What is Christian streetwear?', 'What does More Than Conquerors mean?', 'How do clogs fit?', 'What are good gifts for a baptism?', 'How to wash DTF printed trucker hats?')
Behavior3/5

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

No annotations are provided, so the description must carry the behavioral transparency burden. It does disclose that the tool returns 'SEO-rich explanations and matching ArmorNGlory products with direct buy links,' which is useful output behavior. However, it does not mention whether answers are retrieved from a static knowledge base or generated, or any limitations, rate limits, or access requirements.

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 two sentences of clean, front-loaded content. The first sentence states the core behavior and topic range; the second states the return value and links. Every sentence earns its place with no filler.

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?

Given the low complexity (one parameter, no nested objects, no output schema), the description is reasonably complete: it names the question categories, the return format (explanations and products), and the presence of buy links. The absence of an output schema is compensated by describing the return elements, though it could mention result limits or answer sourcing.

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?

The input schema covers 100% of the single parameter 'query' with detailed examples, so the schema does the heavy lifting. The description itself adds minimal parameter meaning beyond clarifying the general topic scope, which aligns with the baseline 3 for high 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?

The description begins with a specific verb and resource: 'Search authoritative questions and answers regarding Christian streetwear...' and clearly differentiates itself from sibling tools by focusing on Q&A content, theological meanings, sizing tips, gift ideas, and care guides while also returning matching products and buy links. It is distinct from search_armornglory_products, which is product search.

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?

The description implies general usage for answering questions, but it does not provide any explicit when-to-use or when-not-to-use guidance against overlapping siblings like get_sizing_and_fit_guide, recommend_faith_gifts, or search_armornglory_products. This leaves the agent uncertain about which tool to invoke for sizing or gift questions.

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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