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HasData

hasdata-mcp

Official

yellowpages_place: GET /

hasdata_yellowpages_place_getPlaceDetails

Extract business name, address, phone, website, categories, hours, ratings, reviews, and photos from any YellowPages listing URL to verify NAP data and validate business details for lead generation and outreach.

Instructions

Get Yellow Pages Place Details

Scrapes a single YellowPages business listing URL and returns business name, full address, phone, website, categories, years in business, hours of operation, ratings, review counts, photos, and service descriptions. Use to hydrate a lead with verified NAP data, build a B2B contact database from YellowPages URLs collected via the Search endpoint, or validate business legitimacy and hours before outreach.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesThe YellowPages URL of the place.
Behavior3/5

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

No annotations are provided, so the description carries full burden. It lists returned fields but does not mention rate limits, authentication, error handling, or safety. The single-URL scraping behavior is implied but not fully disclosed.

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?

The description is three sentences, concise and front-loaded. However, the first sentence 'Get Yellow Pages Place Details' is somewhat redundant with the title.

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?

Given no output schema, the description enumerates returned fields effectively. It covers the tool's functionality and typical use cases, though it omits error responses or response format.

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 a description for the 'url' parameter. The description adds no additional meaning beyond 'The YellowPages URL of the place', matching 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 it scrapes a single YellowPages business listing URL and returns specific data fields (name, address, phone, etc.), distinguishing it from the search endpoint and Yelp tool.

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?

It provides explicit use cases (hydrate lead, build database, validate business), implying usage after obtaining a URL from search. However, it lacks explicit when-not-to-use or alternative tool references.

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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