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chrischall
by chrischall

Bulk-resolve street addresses to Redfin URLs + home_ids

redfin_resolve_addresses
Read-onlyIdempotent

Resolve batches of up to 100 street addresses into Redfin canonical home URLs and IDs, preserving order and marking unresolved or timed-out entries for targeted retries.

Instructions

Resolve up to 100 free-text street addresses to Redfin canonical home URLs + home_ids in a single tool call. Each input is either a string (full address) or a structured {street, city, state, zip} object. Output preserves input order. Unresolved entries return resolved: false without aborting the batch; a transient bridge failure surfaces a distinct retryable status (timeout/bridge_down/pending) so it is never mistaken for a genuine no-match. Per-row retry-once-on-timeout, server-side concurrency ~6 in flight. The whole call is bounded by an overall hard deadline: a single slow/hung row never wedges the server — unsettled rows come back with status: "pending" and a pending count so you can re-run just those. Use this when you have a list of properties from another system (Compass, MLS, spreadsheet) and need their Redfin handles for follow-on calls — collapses the typical 6-search-call + 15-resolve flow into one trip.

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.
addressesYesArray of 1–100 addresses to resolve, each a string or a {street, city, state, zip} object.

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

A4.4/5.0
Behavior5/5

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

Beyond the readOnly/idempotent/openWorld hints, the description adds substantial behavioral detail: output order preservation, `resolved: false` for no-match, distinct retryable statuses (timeout/bridge_down/pending), per-row retry-once-on-timeout, server-side concurrency ~6, a hard overall deadline, and a pending count for selective re-runs. This far exceeds what the annotations alone convey and matches the read-only/idempotent hints without contradiction.

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 information-dense and front-loaded with the core action, but not maximally concise. Every sentence adds value, but details like 'server-side concurrency ~6 in flight' are non-essential for invocation and could be trimmed. Overall structure is strong and readable.

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?

Despite having no output schema, the description covers the essential invocation context: input format and limits, batch behavior, failure semantics, retry policy, deadlines, and the intended follow-on use case. It even tells the agent what to do with pending results ('re-run just those'). This is complete enough for correct selection and invocation.

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 description coverage is 100%: the `addresses` array and `view` enum are fully documented in the schema. The description only restates the input shape ('string or a structured {street, city, state, zip} object') without adding new parameter-level semantics. Baseline 3 applies.

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: 'Resolve up to 100 free-text street addresses to Redfin canonical home URLs + home_ids in a single tool call.' It clearly distinguishes this bulk resolver from sibling tools like redfin_search_properties and redfin_get_by_address by framing it as a bulk batch operation that collapses a multi-call flow into one trip.

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 states when to use it: 'Use this when you have a list of properties from another system (Compass, MLS, spreadsheet) and need their Redfin handles for follow-on calls.' It also contrasts with the 'typical 6-search-call + 15-resolve flow,' providing clear context. It does not explicitly spell out when-not-to-use or name alternative sibling tools, so it misses the full 5.

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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