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mcp-drizly

mcp-drizly

by markswendsen-code
OverviewSchemaSourceRelated ServersDiscussionsAdmin
JavaScript
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browse_categories

Browse alcohol products by category and subcategory to find beer, wine, spirits, and other beverages available on Drizly.

Instructions

Browse Drizly products by category (beer, wine, spirits) and subcategory (IPA, Chardonnay, Bourbon, etc.)

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": "browse_categories"
  }
}

Input Schema

NameRequiredDescriptionDefault
categoryNoMain category to browse
subcategoryNoSubcategory (e.g., 'IPA', 'Chardonnay', 'Bourbon')

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

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 describes a read-only browsing operation but lacks details on permissions, rate limits, pagination, or response format. For a tool with zero annotation coverage, this is a significant gap in transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that clearly states the tool's purpose and includes relevant examples. It's front-loaded with the main action and resource, with no wasted words, though it could be slightly more structured for optimal clarity.

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 the tool's moderate complexity (2 parameters, no output schema, no annotations), the description is adequate but incomplete. It covers the basic purpose and parameters but lacks behavioral details like response format or usage context, which are important for an agent to use it effectively without annotations.

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 schema description coverage is 100%, so the schema already documents both parameters fully. The description adds minimal value by listing example categories and subcategories, but doesn't provide additional syntax or usage details beyond what the schema provides. Baseline 3 is appropriate when the schema handles most of the parameter documentation.

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: 'Browse Drizly products by category and subcategory.' It specifies the verb ('browse') and resource ('Drizly products'), and mentions example categories and subcategories. However, it doesn't explicitly differentiate this tool from sibling tools like 'search_products' or 'get_product_details,' which is why it doesn't achieve a perfect score.

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. It doesn't mention any prerequisites, exclusions, or compare it to sibling tools like 'search_products' or 'get_product_details,' leaving the agent without context for tool selection.

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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