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mcp-costco

mcp-costco

by markswendsen-code
OverviewSchemaSourceRelated ServersDiscussionsAdmin
JavaScript
Local

get_product_details

Retrieve product details like price, description, and availability from Costco.com using either a product URL or item number.

Instructions

Get detailed product information including price, description, and availability

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "get_product_details"
  }
}

Input Schema

NameRequiredDescriptionDefault
urlNoFull Costco product URL (e.g., https://www.costco.com/...product.html)
item_numberNoCostco item number (alternative to URL)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions retrieving 'detailed product information' but does not specify critical traits like whether it requires authentication, has rate limits, returns real-time data, or handles errors. For a read operation with zero annotation coverage, this leaves significant gaps in understanding its behavior.

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, efficient sentence that front-loads the core purpose without unnecessary words. It directly communicates the tool's function and key data points, making it easy to parse and understand quickly, with no wasted verbiage.

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

Completeness2/5

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

Given the lack of annotations and output schema, the description is incomplete for a tool that fetches product details. It does not explain the return format, error handling, or dependencies (e.g., authentication needs), which are crucial for an AI agent to use it effectively in a context with multiple sibling tools.

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 has 100% description coverage, clearly documenting both parameters ('url' and 'item_number') with examples and alternatives. The description adds no additional parameter semantics beyond implying that product details are fetched, but since the schema is comprehensive, a baseline score of 3 is appropriate as the description does not compensate for any gaps.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose with a specific verb ('Get') and resource ('detailed product information'), listing key data fields like price, description, and availability. However, it does not explicitly differentiate from sibling tools like 'search_products' or 'check_warehouse_stock', which might also provide product-related information, leaving some ambiguity about its unique role.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives, such as 'search_products' for broader queries or 'check_warehouse_stock' for availability details. It lacks context on prerequisites (e.g., whether authentication is needed) or exclusions, offering only a basic functional statement without usage scenarios.

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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