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homepulse

Estimate home values, analyze neighborhoods, calculate improvement ROI, generate maintenance checklists, and evaluate rental markets for any address globally.

Instructions

HomePulse: Global home intelligence API. AI-synthesized home maintenance checklists, improvement ROI analysis, neighborhood research, smart home integration, energy efficiency guidance, contractor task briefings

Coverage: Global

Endpoints: • value ($0.10): Home value estimate • neighborhood ($0.10): Neighborhood analysis • improve ($0.10): Home improvement ROI analysis • maintain ($0.10): Seasonal maintenance checklist • rent ($0.10): Rental market analysis

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionYesWhich endpoint to call. Options: value | neighborhood | improve | maintain | rent
langNolang
addressNoStreet address
zipNoZIP code
cityNocity
stateNostate
projectNoProject type (e.g. kitchen-remodel, deck-addition, new-roof)
home_valueNoCurrent estimated home value in USD
seasonNoDefaults to current season
regionNoUS region or state (e.g. Northeast, Pacific Northwest)
bedroomsNobedrooms
countyNoCounty name hint for HUD FMR matching
Behavior3/5

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

Without annotations, the description carries the burden. It discloses per-endpoint costs ($0.10) and global coverage, which are key behavioral traits. However, it omits rate limits, authentication, idempotency, or other operational details.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is fairly long but structured with a bullet list of endpoints, aiding readability. However, it includes filler ('AI-synthesized') and is not front-loaded with the most critical info. Could be more concise.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 12 parameters, no output schema, and no annotations, the description lacks essential context: output format, parameter dependencies, and usage examples. It fails to adequately prepare an AI agent for correct 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 coverage is 100% with clear parameter descriptions. The description adds the endpoint list with pricing but does not augment parameter semantics beyond what the schema already provides. Baseline 3 is appropriate.

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?

The description specifies the domain ('home intelligence') and lists concrete endpoints (value, neighborhood, etc.), making the tool's purpose clear. However, it lacks a single verb-resource statement and is more promotional than precise, which slightly reduces clarity.

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 does not provide guidance on when to use this tool versus alternative 'pulse' tools. No mention of prerequisites, when not to use, or decision criteria.

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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