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deanwenstrand

Starbucks MCP Server

add_starbucks_favorite

Create a named Starbucks favorite with selected drinks or food items and sizes for quick reordering.

Instructions

Save a new Starbucks favorite order

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesName for this favorite
itemsYesItems in this favorite order
Behavior2/5

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

With no annotations, the description should disclose behavioral traits like authentication requirements, duplicate handling, or return value. It only states 'Save a new Starbucks favorite order' without any additional context, leaving the agent unaware of side effects or prerequisites.

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 sentence containing only essential information, with no redundancy. It is appropriately sized and front-loaded.

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?

For a mutation tool with no annotations and no output schema, the description is too sparse. It fails to mention potential conflicts (e.g., duplicate names), authentication needs, or what the response will look like, making it incomplete for an agent to use reliably.

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 already documents both parameters with descriptions ('Name for this favorite', 'Items in this favorite order'). The tool description adds no further parameter semantics, so it meets the baseline expectation given 100% schema coverage.

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 uses the specific verb 'Save' and identifies the resource as a 'new Starbucks favorite order', which clearly distinguishes it from sibling tools like list, order, and cancel. It communicates the core function in a single, unambiguous phrase.

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 relative to alternatives, such as prerequisites (e.g., logging in first) or conditions that would make it inappropriate. There is no mention of when this tool is preferred over order_starbucks_favorite or other siblings.

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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