Skip to main content
Glama

Server Details

Detect ecommerce platforms (Shopify, WooCommerce, Magento, PrestaShop, Wix, BigCommerce, OpenCart, Squarespace) for any online store via API

If you are the author of this connector, you can claim ownership with GitHub, an HTTP challenge, or a DNS record. Claimed connector authors can inspect health checks, view analytics, and manage their listing.
Status
Unhealthy
Last Tested
Transport
Streamable HTTP
URL

Available Tools

1 tool
detect_platformAInspect

Detects the ecommerce platform of any online store.

ParametersJSON Schema
NameRequiredDescriptionDefault
urlYesDomain or URL of the store

TDQS

A3.5/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It does not state whether the operation is read-only, any side effects, rate limits, or error handling. The verb 'detects' hints at a safe operation but does not confirm it, leaving significant ambiguity for an agent.

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 a single sentence that is direct and free of filler. Every word adds value, making it highly efficient.

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

Completeness3/5

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

For a tool with one parameter and no output schema, the description is minimal but lacks details about the return value, error conditions, or edge cases (e.g., invalid URLs). It is adequate for basic understanding but not fully complete.

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 provides 100% coverage with a clear description of the 'url' parameter. The tool description adds no additional meaning beyond the schema, so the baseline score of 3 applies.

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 tool's function with a specific verb ('detects') and resource ('ecommerce platform of any online store'). It is fully self-contained and unambiguous, even without sibling tools for differentiation.

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 description implies usage for identifying the ecommerce platform of online stores, but provides no explicit guidance on when to use it versus alternatives, nor any prerequisites or exclusions. Since no sibling tools exist, this is acceptable but not exemplary.

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

Frequently Asked Questions

Discussions

No comments yet. Be the first to start the discussion!

Related MCP Servers

  • A
    license
    Not graded
    quality
    D
    maintenance
    Enables detection and analysis of pre-public product launches through web search, content extraction, AI-powered scoring, and automated alerting. Provides comprehensive tools for surfacing stealth startup signals before they trend publicly.
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    Browse IndustryLens's published competitive-intelligence reports and head-to-head competitor comparisons from any AI agent — real, source-backed data.
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables AI chat clients to perform market research and competitive intelligence by gathering company overviews, competitor lists, product portfolios, pricing snapshots, and recent news via live Tavily search.
    MIT
Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A3.8/5.0
Disambiguation5/5

With only one tool, there is no possibility of confusion or overlap between tools. The tool has a clear, singular purpose.

Naming Consistency5/5

The single tool name 'detect_platform' follows a clear verb_noun convention, and there are no other tools to create inconsistency.

Tool Count3/5

The server has exactly one tool, which feels thin for a general-purpose server but may be appropriate if the scope is extremely narrow. It falls in the borderline category.

Completeness5/5

The tool fully covers the stated domain of detecting ecommerce platforms. There are no missing operations for this narrow purpose.

Resources