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Crawlora MCP

datasets_housing_markets_item

Read-only

US housing markets dataset record by region_type and Redfin table_id (history=true returns the full monthly series).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
periodNoOptional exact period start date in YYYY-MM-DD form; defaults to the most recent period on record.
historyNoSet true to return the full monthly series for the region and property type instead of a single period.
table_idYesRedfin table id (the region's stable numeric id), e.g. 1400 for national.
region_typeYesRegion level: national, metro, county, city, or zip.
property_typeNoOptional property type (All Residential, Single Family Residential, Condo/Co-op, Townhouse, Multi-Family (2-4 Unit), Single Units Only); defaults to All Residential.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesThe tool result payload (shape varies per tool; see each tool's docs resource).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description usefully adds that history=true switches from a single period to the full monthly series, but discloses no other behavioral traits (rate limits, coverage gaps, region-type constraints) beyond that.

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?

A single tight sentence that front-loads the resource and key identifiers, with the optional history behavior compactly parenthesized. Nothing is wasted and nothing is buried.

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?

An output schema exists, so return-value explanation is not required, and the schema fully documents the parameters. The description covers the key lookup identity and the history toggle, leaving only tool-selection context (how it relates to search/facets) unaddressed.

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 coverage is 100%, so all five parameters including period, property_type defaults and the table_id example are already documented in the schema. The description restates region_type, table_id and the history flag without adding format, example, or default semantics beyond what the schema provides.

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?

It states a specific verb (retrieve a record) and resource (US housing markets dataset) and pins down the two required identifiers, region_type and Redfin table_id. It does not explicitly distinguish itself from the sibling datasets_housing_markets_search or _facets tools, so sibling differentiation is left implicit.

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

Usage Guidelines2/5

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

The description offers no when-to-use guidance or alternatives; it never mentions the search or facets siblings that an agent would otherwise weigh against a direct id lookup. The only contextual hint is the history=true behavior, which is a parameter detail rather than tool-selection guidance.

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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