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HasData

hasdata-mcp

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google_maps_place: GET /

hasdata_google_maps_place_getPlaceDetails

Retrieve complete Google Maps place details including name, address, coordinates, phone, rating, hours, and photos using a place ID for local SEO analysis or location-based data enrichment.

Instructions

Get Place Details

Fetches full Google Maps place data by placeId with optional domain/language localization. Returns name, address, coordinates, phone, website, categories, hours, rating, review count, price level, photos, popular times, attributes/amenities, plus_code, and map URL. Use for local SEO audits, POI enrichment, lead generation, competitor mapping, and building location-aware agents.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
placeIdYesA unique identifier for the place. This ID can be obtained from Google Maps search results.
domainNoGoogle domain to use. Default is google.com.
hlNoThe two-letter language code for the language you want to use for the search.
Behavior3/5

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

No annotations provided, so description carries full burden. It describes the tool as fetching data and lists returned fields, implying a read operation. However, it lacks detail on failure cases, rate limits, or authentication requirements.

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?

Two sentences: first explains the function, second lists fields and use cases. Front-loaded and no wasted words.

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?

Given no output schema, the description lists many return fields, covering key aspects. With many sibling tools, this description is sufficient for an agent to understand and use the tool.

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% with good descriptions. The description adds a list of return fields but does not significantly enhance parameter 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 fetches full Google Maps place data by placeId with optional domain/language localization, and lists specific use cases. It distinguishes from sibling tools like search and reviews.

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

Usage Guidelines4/5

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

The description lists explicit use cases (local SEO audits, POI enrichment, etc.) but does not mention when not to use or compare with other place detail tools. Still provides good 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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