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markswendsen-code

@striderlabs/mcp-starbucks

customize_item

Build a customized drink or food order by specifying the item and your customization choices like size, milk, and syrup.

Instructions

Build a customized drink or food order. Specify the item and your customization choices. Call add_to_cart afterwards to add it to your cart.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemIdYesItem ID from search_menu results
customizationsNoKey-value pairs of customizations from get_item_details options. Examples: { "size": "grande", "milk": "oat", "syrup": "vanilla", "shots": "triple", "temperature": "extra_hot", "whipped_cream": "no_whip" }
Behavior2/5

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

No annotations provided, so description must disclose behavior. Only says 'build' without explaining side effects, permissions, or what the tool returns. Lacks detail on whether it mutates state or returns an object.

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?

Two efficient sentences with no wasted words. Purpose and next action clearly stated.

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

Completeness4/5

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

Given no output schema, description covers the tool's purpose and workflow. Could mention that the result is a customized item for cart, but overall adequate.

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 covers 100% of parameters with descriptions. Description adds valuable examples for customizations key-value pairs, enhancing understanding beyond schema.

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?

Clearly states verb 'build' and resource 'customized drink or food order'. Distinguishes from sibling tools like add_to_cart (subsequent step) and get_item_details (provides options).

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

Usage Guidelines4/5

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

Explicitly says to call add_to_cart afterwards, implying this tool does not add to cart. Provides workflow context but does not state when not to use or alternatives.

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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