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mcp-costco

mcp-costco

by markswendsen-code
OverviewSchemaSourceRelated ServersDiscussionsAdmin
JavaScript
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select_delivery

Select delivery method for Costco orders: choose home delivery or warehouse pickup by specifying method, ZIP code, and warehouse ID when applicable.

Instructions

Choose delivery method — home delivery or warehouse pickup

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": {
      "method": "<method>"
    },
    "name": "select_delivery"
  }
}

Input Schema

NameRequiredDescriptionDefault
methodYesDelivery method to select
warehouse_idNoWarehouse ID for pickup (required if method is warehouse_pickup)
zip_codeNoZIP code for delivery address lookup

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?

With no annotations provided, the description carries full burden for behavioral disclosure. It states the action ('Choose delivery method') but doesn't reveal whether this is a configuration step, a transactional operation, or has side effects like updating an order. No information about permissions, rate limits, or response format is included, which is inadequate for a tool with potential transactional implications.

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 directly states the tool's purpose with zero wasted words. It's appropriately sized and front-loaded, making it easy for an agent to parse quickly.

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 tool's transactional nature (choosing delivery method) with no annotations and no output schema, the description is insufficient. It doesn't explain what happens after selection, potential side effects, or how this integrates with other tools like 'checkout' or 'add_to_cart', leaving significant contextual gaps.

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 the schema already documents all three parameters thoroughly. The description adds no parameter-specific information beyond what's in the schema, maintaining the baseline score of 3 for adequate but not enhanced parameter semantics.

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 as 'Choose delivery method — home delivery or warehouse pickup', which is a specific verb+resource combination. It distinguishes between two delivery options but doesn't explicitly differentiate from sibling tools like 'get_delivery_options' or 'check_warehouse_stock', which prevents 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 like 'get_delivery_options' or 'check_warehouse_stock'. It doesn't mention prerequisites, dependencies, or typical workflow context, leaving the agent with minimal usage direction.

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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