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compare_products

Read-only

Compare products across multiple registered e-commerce sites simultaneously. Uses fail-open strategy: partial results from successful sites are returned even if some sites time out.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch query for product comparison
categoryNoFilter by category (optional)
in_stockNoFilter to in-stock items only (optional)
site_idsYesList of registered site IDs to compare across
max_priceNoMaximum price filter (optional)
min_priceNoMinimum price filter (optional)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultsNo

Schema Changelog

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

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already indicate readOnlyHint=true and destructiveHint=false. The description adds beyond annotations by explaining the fail-open behavior and that partial results are returned on timeouts, which is valuable behavioral context.

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?

Two sentences, front-loaded with the core action, followed by a key behavioral detail. No wasted words.

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 6 parameters (2 required) and a cross-site comparison function with fail-open, the description covers the main purpose and a key behavior. An output schema exists, so details on return values are likely covered there. Could mention handling of duplicate products or sorting, but not essential.

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%, so baseline is 3. The description does not elaborate on parameters beyond what the schema already provides; it adds no extra semantic meaning.

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 clearly states the purpose: 'Compare products across multiple registered e-commerce sites simultaneously.' It uses a specific verb and resource, and distinguishes itself from sibling tools like search_products (single-site) and get_product (single 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?

The description mentions the fail-open strategy, implying when to use this tool (when tolerance for partial failures is acceptable). However, it does not explicitly exclude scenarios or point to alternatives such as search_products for single-site queries.

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.