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deanwenstrand

Starbucks MCP Server

get_starbucks_menu

Retrieve the full Starbucks menu for a location, or filter items by search query like 'cold brew' or 'breakfast sandwich' to find available options.

Instructions

Get the full menu of available items at a Starbucks location, or search for specific items by providing a query

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryNoOptional: Search query to filter menu items (e.g., 'cold brew', 'breakfast sandwich')
locationNoOptional: Full store address (e.g., '2165 Polk St, San Francisco, CA'). If not provided, uses default location from environment.
Behavior2/5

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

No annotations are provided, so the description carries full responsibility for behavioral disclosure. It only restates the operation and does not mention authentication requirements, default location behavior, response format, or error handling.

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, concise sentence that is front-loaded with the main action and includes the search variant. No filler or redundant information.

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?

The tool has low complexity (2 optional params, no output schema), but the description omits potentially important context such as whether authentication is required and the handling of default location (though the schema covers it). Without annotations or output schema, the description is adequate but not fully complete.

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 coverage is 100% and both parameters are fully described. The description adds minimal context by referencing query and location usage, but does not significantly enhance the schema's own descriptions. Baseline 3 applies.

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 clearly states the tool's function with a specific verb ('Get') and resource ('menu'), and also mentions the optional search capability. It is distinctly different from sibling tools like login/order/auth tools.

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

Usage Guidelines3/5

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

The description implies usage for retrieving menu items, but does not explicitly state when to use this tool versus alternatives (e.g., ordering tools). No exclusions or alternative tool references are provided.

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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