Skip to main content
Glama

Crawlora MCP

apple_maps_place

Read-only

Apple Maps place detail by place ID: address, contact, category taxonomy, hours, rating, price level, amenities, photos, review snippets, and Apple Guides membership.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
langNoDisplay language as a BCP 47 tag (e.g. en-US, ja-JP, de-DE). Defaults to en-US.
countryNoTwo-letter ISO 3166-1 country code that selects Apple's regional catalog. Defaults to US.
place_idYesApple place ID (required): either the external form starting with I (e.g. I594FECA0B369D14A, the place-id= value in a maps.apple.com/place URL) or the numeric id from a search result's id field / an auid= URL parameter.

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

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds the list of data facets retrieved, but discloses nothing about auth, regional-catalog side effects, or response shape beyond the field list. Adequate but thin for a detail-fetch tool.

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?

One front-loaded sentence with the key selector (place ID) first and the returned facets after. Efficient and waste-free, though the long field enumeration could be trimmed since an output schema exists.

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?

With annotations, a full output schema, and 100% parameter coverage, the description supplies what is needed to call the tool. The only gap is routing guidance to sibling search/autocomplete tools for obtaining a place_id.

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 description coverage is 100%, so the schema already fully documents lang, country, and place_id. The description restates 'by place ID' but adds no syntax or format guidance beyond the schema. Baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb+resource: 'Apple Maps place detail by place ID', and enumerates the returned facets (address, hours, rating, amenities, etc.). It is clearly distinguishable from apple_maps_places (search) and apple_maps_place_photos (photos only), though it never names those siblings explicitly.

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?

Usage is implied by 'by place ID' – the agent infers it needs a place_id. But it never says where to obtain one (apple_maps_search / apple_maps_autocomplete) nor when to prefer this over apple_maps_places. No explicit when/when-not/alternatives.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources