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chrischall
by chrischall

Sample climate baseline for an area by pulling a few addresses

redfin_get_area_climate_baseline
Read-onlyIdempotent

Retrieve averaged climate risk baseline from 2-10 sample Redfin URLs in an area. Detect shared cluster to avoid unnecessary individual property lookups.

Instructions

Fetch climate risk for a small set of representative URLs in an area, then return their averaged baseline values plus the shared cluster_id when present. Use this as a cheap area-level read BEFORE fanning out a per-property call: if all sample properties agree (same cluster_id, same fire/flood/heat factors), the baseline applies to the whole cluster and N redundant fetches are avoidable. Pass 2–10 URLs you believe represent the area; returns the aggregate plus the per-URL responses for transparency. Limitations of the per-property tool apply (no landslide coverage — note documented in the per-property tool description).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sample_urlsYesArray of 2–10 sample Redfin URLs representative of the area.
Behavior4/5

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

Annotations (readOnlyHint, idempotentHint) cover safety; description adds context on aggregation and per-URL transparency. No contradictions. Slightly more detail on return format would push to 5.

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 sentences, front-loaded with purpose and usage. Every sentence adds value. No wasted words.

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?

Complete for a simple tool with one fully described parameter, no output schema, and clear annotations. Description explains return values and usage context adequately.

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 already fully describes the single parameter (sample_urls: array of 2-10 URLs). Description reinforces but adds no new details beyond what schema provides. Baseline 3.

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?

Description clearly states the tool fetches climate risk for representative URLs and returns averaged baseline values with cluster_id. Distinguishes from sibling tools like redfin_get_climate_risk (per-property) and redfin_get_climate_risk_bulk.

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?

Explicitly advises using this before fanning out per-property calls to avoid redundant fetches if cluster agrees. Also mentions limitations (no landslide coverage). Clear when-to-use and 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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