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request_back_in_stock

Subscribe the buyer to a back-in-stock alert for an out-of-stock product. Use when the buyer asks to be notified/told/pinged when an item restocks ("notify me when X is back", "let me know when it's in stock"). Collect the buyer's email so the alert can reach them (without it only the demand is recorded for the merchant). The buyer is emailed when the product is next seen in stock. Returns whether an email alert was armed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
emailNoBuyer's email for the restock alert (recommended — without it no alert is sent)
site_idYesRegistered site ID
product_idYesProduct ID to watch
variant_idNoSpecific variant to watch (optional)
product_titleNoProduct name, for a clearer alert + merchant view (optional)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Discloses that without email only demand is recorded, and that the alert is sent via email. Annotations already indicate non-destructive and open-world, and description adds behavioral context without contradiction.

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 sentences, front-loaded with purpose, no unnecessary words. Every sentence adds value.

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

Completeness5/5

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

Covers purpose, usage scenario, parameter importance, and return value. Output schema exists so return details are not needed. Complete for the tool's complexity.

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% with descriptions for each property. Description adds value by explaining why email is recommended and product_title optional, going beyond the schema.

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?

Description clearly states the tool subscribes the buyer to a back-in-stock alert for an out-of-stock product. It uses specific verb 'subscribe' and resource 'back-in-stock alert', differentiating from sibling tools like add_to_cart or get_product.

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

Usage Guidelines4/5

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

Explicitly says 'Use when the buyer asks to be notified...' and provides example phrases. Could be improved by stating it's only for out-of-stock products, but the context is clear.

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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TDQS

A4.2/5.0
Disambiguation5/5

Each tool targets a distinct action or resource, with detailed descriptions that clearly differentiate cart management, checkout flow, payment steps, delegation, orders, and product operations. Potential overlaps like get_active_cart vs. get_cart are resolved by their specific use cases.

Naming Consistency5/5

All tools use a consistent verb_noun_snake_case pattern (e.g., add_to_cart, set_shipping_address). There are no mixing of conventions like camelCase or inconsistent verb styles.

Tool Count4/5

26 tools is on the higher side but appropriate for a comprehensive e-commerce server covering product discovery, cart management, checkout, payment, orders, and reviews. Could potentially be streamlined slightly, but still reasonable.

Completeness5/5

The tool set covers the full e-commerce lifecycle: site listing, product search/compare/reviews, cart CRUD, coupon application, shipping, checkout, payment with delegation and OTP, order retrieval, and back-in-stock alerts. No obvious gaps for typical buyer workflows.