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list_guides

Index of source-cited, 2026-accurate US home-energy incentive guides (solar, heat pumps, batteries, weatherization) by state. Free. Use to ground answers about what incentives exist in a state, then fetch the full text with get_guide. Every entry includes a canonical URL you can cite. [20 anonymous calls/caller/24h; then 100 free calls/key/30d; active Builder required for sustained informational use]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax guides to return (1–50, default 20).
topicNoFilter by topic: solar | heat_pump | battery | weatherization | overview. Omit for all topics.
regionNoFilter by region: full state name (e.g. 'Vermont'), two-letter code (e.g. 'VT'), or 'United States' for federal-level guides. Omit for all regions.

TDQS

A4.6/5.0
Behavior5/5

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

With no annotations, the description carries the full burden. It discloses rate limits (20 anonymous calls/24h, 100 free/key/30d), the need for an active Builder for sustained use, that guides are source-cited and 2026-accurate, and that each entry includes a canonical URL. These are concrete behavioral characteristics beyond simple existence.

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 concise—four sentences covering purpose, usage, output hint, and rate limits—with no redundant filler. It front-loads the core value proposition and then provides actionable usage and constraints.

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?

For a listing tool with no output schema, the description provides enough to know the general scope and a key output property (canonical URL). It also covers rate limits and usage. It doesn't fully describe the return structure (e.g., fields per guide) or ordering, but given the tool's simplicity and the schema's filter coverage, this is adequate. A small gap in output structure keeps it from 5.

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 three parameters (limit, topic, region) have schema descriptions, so description adds little. The description's parenthetical topic list mirrors the schema enum, and 'by state' aligns with region. No additional parameter-level semantic instructions beyond schema. Baseline 3 is appropriate given 100% schema coverage.

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 identifies the tool as an index of US home-energy incentive guides by state, citing source and accuracy. It distinguishes itself from sibling tools by explicitly pointing to get_guide for full text, making its role as a listing/preview tool unambiguous.

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

Usage Guidelines5/5

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

It gives explicit guidance: 'Use to ground answers about what incentives exist in a state, then fetch the full text with get_guide.' This tells the agent when to use it (to answer state-level incentive questions) and when to use an alternative (get_guide for full content). Also mentions rate limits and Builder requirement, which informs sustained use.

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

C2.8/5.0
Disambiguation2/5

Several tools overlap heavily: get_node_score vs get_energy_node_score, find_local_installers vs match_installers, and route_lead vs submit_contractor_match_request are easy to confuse. The descriptions clarify details, but an agent would often need to inspect arguments to know which installer, incentive, or recommendation tool is the right one.

Naming Consistency3/5

All tool names use snake_case with a verb-leading style, which provides a consistent backbone. However, domain naming is inconsistent: the same concept appears as node vs energy_node, installer vs contractor, and incentive discovery is split across check_incentives, get_energy_incentives, list_guides, and get_guide without a predictable pattern.

Tool Count2/5

29 tools is too many for a single MCP server, especially since several fall into overlapping installer/lead, incentive, recommendation, and commercial-power categories. Many tools appear to be monetization gates or handoff variants that could reasonably be consolidated.

Completeness3/5

The set covers core user journeys: assessment creation/answering/completion, incentive guidance, installer discovery and routing, quote review, and commercial power screens. However, there are notable gaps in state management, such as no way to list or retrieve existing assessments/leads, and several checkout or handoff tools have no follow-up/status tool.