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HasData

hasdata-mcp

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yellowpages_place: GET /

hasdata_yellowpages_place_getPlaceDetails

Retrieve verified business details from a YellowPages listing URL, including name, address, phone, hours, ratings, and photos. Use to validate business legitimacy and hydrate leads with accurate NAP data.

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 describes the tool as scraping a single listing (read operation) and lists returned data, but does not disclose potential rate limits, authentication needs, or behavior on invalid URLs.

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?

Three succinct sentences: first states action and output, second provides use cases. No redundant information. Front-loaded with key details.

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?

For a simple tool with one parameter and no output schema, the description covers purpose, data returned, and use cases. Lacks explanation of return format or error handling, but still adequate for an AI agent.

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?

The single parameter 'url' is fully described in the schema (100% coverage). The description adds minimal extra meaning beyond schema, only implying the URL should be from YellowPages. Baseline 3 is appropriate.

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 explicitly states it scrapes a single YellowPages business listing URL and returns specific data fields (NAP, hours, ratings, etc.). It clearly differentiates from sibling tools like search endpoints or other place details tools (e.g., Google Maps, Yelp).

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?

Provides concrete use cases: hydrating leads, building B2B databases from URLs collected via Search, validating business legitimacy. Implies prerequisite of having a YellowPages URL, but does not explicitly state when not to use or alternatives.

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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