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Glama
HasData

com.hasdata/redfin

redfin_property: GET /

hasdata_redfin_property_getPropertyDetails

Fetch full Redfin property data from a URL, including price, history, estimate, home specs, school ratings, and comparables to support CMA reports, due diligence, and buyer-assistant agents.

Instructions

Get Redfin Property Details

Fetches the full Redfin property page by URL. Returns address, list/sold price, price history, Redfin Estimate, beds/baths, square footage, lot size, year built, property type, HOA, days on market, school ratings, tax history, listing agent, full description, photos, walk/transit/bike scores, and nearby comparables. Use for CMA reports, investor due-diligence, valuation models, listing enrichment, and powering buyer-assistant agents with verified property facts.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesThe URL of the property on Redfin. Must be a valid Redfin property URL.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.0.0

TDQS

A3.5/5.0
Behavior2/5

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

No annotations are provided, so the description must fully disclose behavioral traits. It only says it 'fetches' and returns data, but does not address authentication, rate limits, error behavior, or what happens with invalid URLs. This leaves the agent without operational expectations beyond the basic return field list.

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 front-loaded with the core action and includes no filler. The list of returned fields and use cases is lengthy but informative; however, it could have been trimmed slightly without losing essential guidance, so it does not earn a perfect score.

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 one-parameter fetch tool with no output schema, the description covers the input, the returned data, and common use cases, which is largely sufficient for correct invocation. It falls short of complete because behavioral caveats such as rate limits and error handling are missing.

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 with 100% coverage, so the schema already provides the needed semantics. The description adds no further format, examples, or constraints beyond what the schema states, justifying the baseline score of 3.

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?

The description clearly states a specific action and resource: 'Fetches the full Redfin property page by URL' and lists the many fields it returns. However, it never explicitly contrasts itself with the sibling listing tool, so the distinction is left to inference rather than stated outright.

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 explicitly lists use cases: 'Use for CMA reports, investor due-diligence, valuation models, listing enrichment, and powering buyer-assistant agents.' This gives clear context for when the tool is appropriate, but it does not mention when not to use it or point to the sibling tool as an alternative.

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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