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solar-home-incentives

get_power_service_quote

Create a signed, 15-minute, scope-bound quote for EnergyAI’s $1 Power Screen from non-sensitive site and workload facts. Returns the quoteToken required by run_power_screen, exact price, evidence boundary, authorization class, and higher-tier handoffs. Free and never spends funds. [always free — no API key required]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
stagedMwNoOptional first-stage load in MW; defaults to the lesser of 4 MW and targetMw.
targetMwYesTarget compute or flexible-load capacity in MW.
coolingModeNounknown
siteLocationYesCounty/state, balancing area, or approximate site. Do not send a street address or contact information.
storageHoursNoOptional available storage duration in hours.
workloadTypeYes
powerEvidenceNoBuyer-stated evidence maturity; confirmed still requires documentary verification.unknown
flexibilityHoursNoHours per week the workload can shift.

TDQS

A4.1/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden and it does well: it discloses the quote is free ('never spends funds', 'always free — no API key required'), time-bound ('15-minute'), and scope-bound, plus it lists the outputs. It does not mention potential persistence or external calls, but key behavioral facts are covered.

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 is front-loaded with the core purpose, then output and cost/safety. It is appropriately sized, though there is slight redundancy between 'Free and never spends funds' and '[always free — no API key required]', which keeps it from a 5.

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, the description usefully enumerates return values (quoteToken, price, evidence boundary, authorization class, higher-tier handoffs) and key constraints (time-bound, free, no API key). Some terms like 'authorization class' and 'higher-tier handoffs' remain vague, but the agent has enough to call and interpret the result correctly.

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 description coverage is 75%, so the baseline is 3. The description adds only a high-level constraint ('non-sensitive site and workload facts') and does not enrich individual parameter meanings beyond what the schema already provides.

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 names a specific verb ('Create'), resource ('signed, 15-minute, scope-bound quote'), and scope ('EnergyAI’s $1 Power Screen'). It also distinguishes the deliverable from siblings by explicitly naming the required downstream token ('quoteToken required by run_power_screen'), making the tool's niche unmistakable.

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?

It clearly implies when to use the tool: when a quoteToken is needed before running run_power_screen, and it indicates the input domain ('non-sensitive site and workload facts'). It does not explicitly list alternatives or state when not to use it, so it stops short of a 5.

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.