tekweld-ecommerce-mcp

Call any Tekweld ecommerce API endpoint

call_ecommerce_api

Call any endpoint of the Tekweld e-commerce API by specifying path, method, query, body, and headers. Use for endpoints not covered by dedicated tools.

Instructions

Generic passthrough tool for calling other endpoints under https://ecommercetest.tekweld.com/api/v1. Use this to reach endpoints not covered by a dedicated tool. Provide a path relative to the base URL (e.g. '/home/get_banners'), an HTTP method, and optional query params / JSON body / headers.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "path": "<path>"
    },
    "name": "call_ecommerce_api"
  }
}

Input Schema

Name	Required	Description	Default
`body`	No	JSON body to send (for POST/PUT/PATCH requests)
`path`	Yes	Path relative to the base URL, e.g. '/home/get_mega_menu' or '/product/list'
`query`	No	Query string parameters to append to the URL
`method`	No	HTTP method to use	GET
`headers`	No	Extra headers to send, e.g. an Authorization token

Schema Changelog

Changes observed during successful MCP inspections.

First observedv1.0.0Jul 10, 2026

TDQS

A4.3/5.0

Behavior3/5

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

No annotations are provided, so the description carries the full burden. It discloses that the tool acts as a generic HTTP passthrough and lists the parameters that control behavior. However, it does not mention error handling, rate limits, authentication requirements (though headers allow auth token), or the response format. This is adequate but lacks full transparency on potential risks or failure modes.

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, each adding essential information without redundancy. The first sentence states the purpose, the second gives usage instructions. Every word earns its place, and the most important information is front-loaded.

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?

Given no output schema, the description does not explain what the response will contain (e.g., JSON). It also lacks information on authentication or error handling. However, since it is a generic passthrough, the response format is inherently variable. The description is adequate but could be more complete by noting that responses are JSON and that errors may be returned.

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 description coverage is 100%, so the baseline is 3. The description adds value by contextualizing parameters: it gives the base URL, shows a relative path example, and explains that query/body/headers are optional. This goes beyond the individual schema descriptions by tying them together into a usage context.

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 it is a generic passthrough tool for calling endpoints under a specific base URL, intended for endpoints not covered by dedicated tools. It specifies the verb 'call' and resource 'any Tekweld ecommerce API endpoint', distinguishing it from siblings like get_mega_menu and list_menu_items which cover specific endpoints.

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 explicitly says 'Use this to reach endpoints not covered by a dedicated tool', providing clear when-to-use guidance and implicit when-not-to-use (when a dedicated tool exists). It also explains what to provide (path, method, query, body, headers), giving comprehensive usage instructions.

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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