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chrischall
by chrischall

Bulk fetch Redfin property records

redfin_bulk_get
Read-onlyIdempotent

Fetch complete Redfin property data for up to 200 saved or candidate homes in one batch using URLs, property IDs, or listing IDs; per-row errors are isolated so one invalid ID doesn't fail the batch.

Instructions

Fetch up to 200 Redfin property records in a single tool call. Provide an array of targets, each one of: a url (full Redfin homedetails URL or path with the /home/ segment), a property_id alone (resolved internally by following Redfin's /home/ redirect to the canonical listing), or a property_id+listing_id pair (fastest — skips resolution). Returns the same per-property record shape as redfin_get_property, but without a summary table — use redfin_compare_properties for that. Per-target errors are captured per-row; a single bad ID does not fail the batch. Server-side concurrency, ~6 in flight at a time, with retry-once-on-timeout per row to absorb transient bridge hiccups. The whole call is bounded by an overall hard deadline: a single slow/hung row never wedges the server — when the deadline is reached any unsettled row is returned with status: "pending" (retryable) and a pending count so you can re-run just those targets. Use this when you have a list of saved homes / candidate properties and need the full structured data for every one of them.

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 1–200 properties to fetch
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?

Beyond the readOnlyHint/openWorldHint/idempotentHint annotations, the description discloses substantial behavior: per-target error capture, ~6 in-flight server-side concurrency, retry-once-on-timeout, a hard deadline, and retryable pending status rows. This gives the agent accurate expectations about failure modes and partial results.

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?

The description is dense but every sentence earns its place: capability, target forms, output relation, error behavior, concurrency, timeout semantics, and usage guidance are all covered without filler. The most important facts are front-loaded.

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 the readOnly annotations and rich schema, the description covers what an agent needs to select and invoke the tool: batch size, target formats, response relationship to redfin_get_property, error isolation, retry behavior, pending status semantics, and the comparison-tool alternative. No critical gap remains.

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 coverage is 100%, so the baseline is 3, but the description adds meaning to the targets parameter: it clarifies the three accepted target forms, explains internal redirect resolution for property_id, and notes that pairing with listing_id is fastest. This is practical routing information not present in 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 opens with a specific verb and resource: 'Fetch up to 200 Redfin property records in a single tool call.' It distinguishes itself from siblings by stating it returns the same per-property record shape as redfin_get_property but without a summary table, and explicitly names redfin_compare_properties for that alternative.

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?

The description gives explicit when-to-use guidance: 'Use this when you have a list of saved homes / candidate properties and need the full structured data for every one of them.' It also names the alternative for summary comparison and implies the distinction from single-record fetching.

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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