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solar-home-incentives

get_node_score

Instant Energy Node Score (0–100 across 7 axes: efficiency, electrification, renewable generation, storage/resilience, financial optimization, carbon, market readiness) plus the single highest-leverage next action, from whatever property facts you have. More inputs → tighter score. [20 anonymous calls/caller/24h; then 100 free calls/key/30d; active Builder required for sustained informational use]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
evTypeNoe.g. own_ev | plan_ev | no_ev
countryNoISO 3166-1 alpha-2 country code. Omit for US.
roofAgeNoe.g. lt_5 | 5_15 | gt_15 | unknown
zipCodeNoOptional postal code of the property. US: 5-digit ZIP. Other countries: local postal code (pass country too). Omit it to use documented national assumptions.
backupNeedNoe.g. whole_home | essentials | none
heatingFuelNoe.g. natural_gas | oil | propane | electric_resistance | heat_pump | wood | other
serviceTypeNoPrimary interest: solar | battery | ev_charger | efficiency | heat_pump | unsure
propertyTypeNosingle_family | townhouse | condo | mobile_home | multi_family | commercial | farm | other
outageConcernNorare | occasional | frequent | severe
monthlyBillUsdNoAlternative to monthlyBillRange: average monthly bill in USD.
monthlyBillRangeNolt_75 | 75_150 | 150_250 | 250_400 | gt_400 | unknown
electricalPanelSizeNoe.g. lt_100 | 100_200 | gt_200 | unknown

TDQS

A4.4/5.0
Behavior4/5

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

With no annotations, the description carries the behavioral disclosure burden. It transparently covers rate limits ('20 anonymous calls/caller/24h; then 100 free calls/key/30d'), access requirements ('active Builder required'), and input sensitivity ('More inputs → tighter score'). It also states the output shape (score plus next action).

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?

The description is three concise sentences, front-loaded with the core purpose and output details, then input flexibility, then constraints. Every sentence contributes value without repeating schema information.

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?

Given no output schema and no annotations, the description covers the essential context: output axes, next action, input flexibility, rate limits, and access requirements. It could be more explicit about response format or error behavior, but the tool's informational nature makes this sufficient.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% for all 12 optional parameters, so the baseline is 3. The description adds meaningful parameter-level guidance by stating 'from whatever property facts you have' and 'More inputs → tighter score', implying any subset is valid and accuracy scales with input richness—this goes beyond the schema.

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 clearly defines the tool's output: an 'Energy Node Score (0–100 across 7 axes)' plus a 'single highest-leverage next action', based on 'whatever property facts you have'. This is specific and distinguishes it from siblings like estimate_production or check_incentives.

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 provides clear usage context: call it with whatever property facts are available, and 'More inputs → tighter score'. It also notes rate limits and the requirement for an active Builder for sustained use, but it does not explicitly name alternatives or exclusions.

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

A4.5/5.0
Disambiguation4/5

Most tools are clearly distinct, but the three installer-related tools (find_local_installers, get_quote_link, route_lead) share the purpose of connecting users to installers and require careful reading of descriptions to avoid misselection. Other overlapping pairs like get_guide/list_guides and check_incentives are well differentiated by dynamic vs. static content.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern in lowercase snake_case (check, create, estimate, find, get, list, route). Multiple get_* tools are uniform, and the naming makes the action and object clear. No mixed conventions or vague verbs.

Tool Count5/5

With 10 tools, the server is well-scoped. Each tool serves a distinct role: informational lookup, estimation, guide access, installer connection, and commercial account management. The count is within the ideal 3–15 range and matches the server's broad but coherent purpose.

Completeness5/5

The tool surface covers the core workflows: incentive checks, production estimates, guide exploration, installer discovery/quoting/lead routing, and commercial key management. No significant gaps are apparent; the only minor limitation is that installer tools are US-focused, but that seems intentional given the US-based guides and incentives data.