Skip to main content
Glama

Apostle — AI Men's Skincare Commerce

skincare_cart

Create a buyable shopping cart with a real checkout URL. Two modes: (1) Pass 'products' array with specific product names. (2) Pass 'query' string to auto-recommend and cart. Do not use for browsing or recommendations — use search_products or skincare_recommend first. Returns a widget with the cart items and a working checkout link.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryNoNatural language query to auto-recommend products. Only used if products array is not provided.
productsNoSpecific product titles to add to the cart
strategyNoOptional offer strategy override when using query mode

TDQS

A4.6/5.0
Behavior4/5

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

Annotations indicate mutability (readOnlyHint=false) and the description clarifies it creates a cart and returns a working checkout link. However, it does not disclose potential side effects like cart persistence or cart lifetime, which would be helpful for complete transparency.

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 exceptionally concise at 4 sentences, front-loading the core purpose and then breaking down modes and exclusions. Every sentence adds non-redundant information, making it efficient for an AI agent to parse.

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 tool has no required parameters and no output schema, the description fills the gap by stating what is returned ('a widget with the cart items and a working checkout link'). It covers the primary behavior, but could mention edge cases like what happens if both modes are invoked or if no products are found.

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?

The input schema already provides good descriptions for all three parameters (100% coverage). The tool description adds value by explaining the two usage modes and how parameters interact (e.g., 'query' used only if 'products' not provided), which is not evident from the schema alone.

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 starts with a clear verb-resource pair ('Create a buyable shopping cart') and specifies two distinct modes (products array vs query). It also explicitly distinguishes itself from sibling tools like search_products and skincare_recommend, making its purpose unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives explicit when-to-use ('to create a cart with checkout URL') and when-not-to-use ('Do not use for browsing or recommendations'), along with clear alternative tools ('use search_products or skincare_recommend first'). This provides excellent guidance for an AI agent.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A4/5.0
Disambiguation3/5

Most tools have distinct purposes, but there is clear overlap between 'recommend' and the deprecated 'skincare_recommend', and 'shop' as a routing tool could be ambiguous with 'search_products' and 'recommend'. Descriptions help but are not fully disambiguating.

Naming Consistency2/5

Naming patterns are inconsistent: some use verb_noun (e.g., check_inventory, compare_products), while others are single words (shop) or use a noun prefix (skincare_cart, skincare_recommend). The deprecated duplicate 'skincare_recommend' further disrupts consistency.

Tool Count5/5

14 tools is well within the 3-15 range and covers the necessary functions for a skincare commerce server: product lookup, search, recommendation, comparison, compatibility, inventory, checkout, deals, research notes, and issue reporting. No excess or deficiency.

Completeness4/5

The tool set covers core commerce workflows: browsing, product details, recommendations, checkout, deals, and compatibility checks. Minor gaps exist (e.g., order history or user profile management) but are outside the apparent scope. The deprecated duplicate is a minor inefficiency.

Resources