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chrischall
by chrischall

Compare multiple Redfin properties side-by-side

redfin_compare_properties
Read-onlyIdempotent

Compare 2–25 Redfin properties side-by-side using URLs or property/listing IDs, returning key details like price, beds/baths, sqft, year built, HOA, and last sold.

Instructions

Fetch and compare 2 to 25 Redfin properties side-by-side. Provide an array of targets, each either a url or a property_id+listing_id pair. Returns the full per-property record (price, beds/baths, sqft, year built, HOA monthly, last sold, derived price-drop, etc.). For >25 properties or workflows that don't need side-by-side analysis use redfin_bulk_get. Pass include_summary: true for an aligned-by-field summary table (default false to save context — the per-row records carry the same data, so emitting both duplicates ~30% of the response weight). Each record's extracted_features (lake_front, hot_tub, basement, furnished, dock, community) is always included. The raw marketing description is omitted by default — opt in with include_description: true. Errors for individual properties are captured per-row. Calls are concurrent.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
viewNoResponse shape: "compact" (default) drops fields the response already carries elsewhere; "full" returns every field this server understands. compact strips image/avatar URLs from the response; "full" returns Redfin's payload untouched. No field projection: this server has no verified record of which Redfin fields matter, and inventing one would risk dropping a field a caller needs.
targetsYesArray of 2–25 properties to compare. Use `redfin_bulk_get` for larger batches that don't need side-by-side analysis.
include_summaryNoInclude the aligned-by-field `summary` table. Default false — the per-row records carry the same data, so emitting both duplicates ~30% of the response weight. (#37)
include_descriptionNoInclude each property's raw marketing/public-remarks description. Default false to save context — `extracted_features` always carries the structured signal.

Schema Changelog

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

  1. Changed1 schema field changedv0.13.1
    • addedInput schema / properties / view
      Added value: +{
      +  "description": "Response shape: \"compact\" (default) drops fields the response already carries elsewhere; \"full\" returns every field this server understands. compact strips image/avatar URLs from the response; \"full\" returns Redfin's payload untouched. No field projection: this server has no verified record of which Redfin fields matter, and inventing one would risk dropping a field a caller needs.",
      +  "enum": [
      +    "compact",
      +    "full"
      +  ],
      +  "type": "string"
      +}
  2. First observedv0.10.1

TDQS

A4.9/5.0
Behavior5/5

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

The annotations already declare readOnlyHint, openWorldHint, and idempotentHint, and the description adds valuable behavioral context beyond them: individual property errors are captured per-row, calls are concurrent, the raw marketing description is omitted by default, and include_summary duplicates ~30% of response weight. There is no contradiction with annotations.

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?

Every sentence earns its place: core purpose and range are front-loaded, then selection guidance, then optional flags with their tradeoffs, then error/concurrency behavior. There is no filler, tautology, or redundant restating of the schema.

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?

With no output schema, the description compensates thoroughly by enumerating key returned fields, explaining default response shape, describing per-row error handling, and noting concurrency. An agent has enough context to call the tool correctly and anticipate response size and failure behavior.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the baseline is 3. The description adds real semantics beyond the schema: targets may be a url OR a property_id+listing_id pair, include_summary has a quantified response-weight tradeoff, and include_description defaults off. Only the view parameter's behavior is left to the schema, which is acceptable given full coverage.

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 opens with a specific verb and resource: 'Fetch and compare 2 to 25 Redfin properties side-by-side.' It states the accepted target formats (url or property_id+listing_id), names the return fields, and clearly distinguishes itself from redfin_bulk_get and other siblings.

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

Usage Guidelines5/5

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

It explicitly directs non-side-by-side or >25-property workflows to redfin_bulk_get. It also gives actionable guidance on when to set include_summary and include_description, including the context-cost tradeoff, so an agent can make a well-informed invocation decision.

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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