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Crawlora MCP

starbucks_nearest_store

Read-only

Locate the single closest Starbucks store to a coordinate. Both lat and lng are required. Returns the nearest store's coordinates and distance only, not its details -- this is what Starbucks' own locator uses to centre its map. Use starbucks_stores for full store records. market selects which Starbucks country site answers, one of us or ca (default us). A point with no nearby store returns a well-formed result with found false rather than an error.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
latYes
lngYes
marketNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesThe tool result payload (shape varies per tool; see each tool's docs resource).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.6/5.0
Behavior4/5

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

Annotations already declare readOnly and openWorld, so the safety profile is covered. The description adds genuine behavioral context beyond that: it returns coordinates and distance only (no store details), and a point with no nearby store yields 'found false' rather than an error. That error-handling disclosure is valuable and not derivable from annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded with the core purpose, then layered with returns, sibling routing, and parameter semantics. Every sentence carries information, though it is on the denser side; nothing is wasted.

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

Completeness5/5

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

An output schema exists, so return values need not be spelled out, yet the description still covers the notable edge case (found false). Combined with the parameter coverage and sibling routing, nothing an agent needs to call this correctly is missing.

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 description coverage is 0%, so the description must compensate, and it largely does: it confirms lat/lng are required, explains that market selects the answering country site, enumerates its values (us or ca) and gives the default (us). This documents all three parameters despite the empty 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?

States a precise verb (locate) and resource (the single closest Starbucks store) with an explicit scope: 'to a coordinate.' It also distinguishes itself from starbucks_stores, so an agent can tell the two apart without opening either schema.

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

Usage Guidelines5/5

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

Explicitly routes the agent: 'Use starbucks_stores for full store records,' and specifies the input constraint ('Both lat and lng are required'). The condition that selects this tool over its sibling is named directly.

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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