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homepulse

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 ($0.08): Seasonal maintenance checklist • rent ($0.08): Rental market analysis • contractor ($0.10): Contractor vetting guide • energy ($0.10): Home energy efficiency • maintenance ($0.08): Personalized home maintenance calendar • roi ($0.10): Home improvement resale ROI • smart ($0.08): Smart home ecosystem advisor

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ageNoHome age (years)
zipNoLegacy alias for location (ZIP/postal code)
cityNocity
langNolang
roomNoRoom
sqftNoSquare footage (or square meters — state units)
stateNoState/province/region
tradeNoTrade (plumber, electrician, roofer, etc.)
actionYesWhich endpoint to call. Options: value | neighborhood | improve | maintain | rent | contractor | energy | maintenance | roi | smart
budgetNoBudget, in local currency
countyNoCounty name hint for HUD FMR matching (US only)
regionNoRegion or state/province (e.g. Northeast, Pacific Northwest, Bavaria, New South Wales)
seasonNoDefaults to current season (hemisphere-corrected when country is given)
addressNoStreet address
countryNoCountry (e.g. US, UK, CA, DE, AU) — selects local currency and property portals
projectNoProject type (e.g. kitchen-remodel, deck-addition, new-roof)
bedroomsNobedrooms
featuresNoHome features (pool, well, etc.)
home_ageNoHome age (years)
locationNoPostal code or city (e.g. 90210, M5V 2T6, SW1A)
ecosystemNoEcosystem (Alexa, HomeKit, Google Home)
home_typeNoHome type (single-family, condo, etc.)
home_valueNoCurrent estimated home value, in local currency

TDQS

B3.1/5.0
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It states 'AI-synthesized,' 'Coverage: Global,' and per-endpoint prices, but does not explain output format, parameter requirements per endpoint, error behavior, or that this is a read-only intelligence service. The runtime behavior of the tool remains largely opaque.

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 front-loads the purpose with a single-sentence summary, then provides a clean bulleted list of all endpoints and prices. It is easy to scan and informative without being verbose, though the pricing details could be considered secondary and perhaps belong in a separate field.

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 23 parameters, 10 actions, no output schema, and no annotations, the description is incomplete. It fails to specify which parameters are relevant for each action, how results are returned, or what input combinations are valid. An agent would struggle to invoke the tool correctly beyond selecting an action.

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?

All 23 parameters have schema descriptions (100% coverage), so the baseline is 3. However, the description adds no parameter guidance—it never maps endpoints to required or recommended parameters (e.g., 'value' likely needs an address or zip, but that mapping is absent). The terse schema descriptions like 'city' and 'Room' are minimally helpful, and the description does not compensate for their brevity.

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 clearly opens with 'Global home intelligence API' and enumerates ten specific endpoints (value, neighborhood, improve, etc.), making its domain and scope obvious. It distinguishes itself from sibling domain tools like 'cryptopulse' and 'climapulse' by being explicitly home-focused, though it describes multiple sub-actions within the tool rather than a single specific operation.

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

Usage Guidelines3/5

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

The description implies use for home-related queries via the endpoint list, but never explicitly states when to prefer this tool over alternatives or how to choose among the ten actions (e.g., 'maintain' vs 'maintenance'). It lacks any when/when-not guidance, forcing the agent to infer usage from endpoint names.

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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TDQS

B3.2/5.0
Disambiguation4/5

Each tool has a unique domain prefix (e.g., airdroppulse, alphapulse, arbipulse) making them mostly distinguishable at a glance. A few adjacent verticals like careerpulse vs talentpulse or marketpulse vs dealpulse have overlapping themes, but their descriptions clarify the distinct focus. The utility tools (catalog_search, discover, get_openapi_spec, x402_troubleshoot) are also clearly distinct in role. However, the sheer number of similar 'pulse' names could still cause misselection without reading descriptions.

Naming Consistency4/5

The dominant naming convention is `<domain>pulse` (e.g., climatepulse, cryptopulse, edupulse), which is highly consistent and predictable. Exceptions like catalog_search, discover, get_openapi_spec, x402_troubleshoot, and stateedge break the pattern, but these are few and serve obvious utility purposes. Overall, the convention is clear and easily learnable.

Tool Count2/5

With 80 tools, the server presents an extremely large and potentially overwhelming surface. While each tool represents a distinct intelligence vertical and navigation aids exist (catalog_search, discover, get_openapi_spec), the count far exceeds the typical 3-15 range for coherent agent use and even the 'heavy' 16-25 range. The burden of selecting the correct vertical from 80 options is significant, despite clear naming.

Completeness5/5

The server offers an exceptionally broad and deep coverage of domains, from finance and health to agriculture and gaming. Each vertical includes multiple endpoints that address core operations for its domain, such as search, analysis, comparisons, deterministic checks, and even action-oriented tools like letter generators and physical mail. The presence of free discovery and troubleshooting tools fills potential gaps, leaving no obvious dead ends in the overall tool surface.