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markswendsen-code

@striderlabs/mcp-starbucks

get_nearby_stores

Find Starbucks locations near any address or zip code. Returns store names, addresses, hours, and supported features.

Instructions

Find nearby Starbucks locations by address or zip code. Returns store names, addresses, hours, and supported features.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
addressYesAddress, city, or zip code to search near (e.g., '94105', '123 Main St, San Francisco CA')
radiusNoSearch radius in miles (default: 10)
Behavior2/5

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

No annotations are present, so the description must disclose behavioral traits. It only mentions return fields without stating side effects, authentication needs, or rate limits. As a read-like operation, it fails to assert read-only nature 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?

A single, front-loaded sentence that efficiently conveys purpose and return information with no wasted words.

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 no output schema, the description should detail return format more. It mentions fields but lacks info on edge cases (e.g., no results, error conditions). Adequate for a simple listing tool but not fully comprehensive.

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% with descriptions for both parameters. The description adds minimal value by reinforcing 'address or zip code' but does not significantly enhance understanding beyond the 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?

The description clearly states the tool finds nearby Starbucks locations by address or zip code, specifies the return fields (store names, addresses, hours, supported features), and distinguishes it from siblings like 'select_store' and 'search_menu'.

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?

No guidance on when to use this tool versus alternatives (e.g., 'select_store' or 'search_menu') is provided. The description lacks explicit when/when-not conditions or comparative context.

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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