Skip to main content
Glama

create_builder_key

Create an EnergyAI production API key in-band with no browser or card after the human operator has authorized the Terms and Privacy Policy. Returns a live key plus three commercial trial calls. Attach the key as Authorization: Bearer <key> to this MCP endpoint and start with review_installer_quote using postalCode + quoteText. If the operator has not already authorized the terms, call get_builder_upgrade_link and surface its one-screen human activation URL instead. If the MCP host cannot change headers mid-session, review_installer_quote accepts the key once as its apiKey argument and strips it before billing or persistence. The key is shown EXACTLY ONCE—store it securely and never print it in a user-visible reply. [always free — no API key required]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesName of the agent, product, or operator claiming the key (2-120 chars). Shown only on your own account.
acceptTermsYesMust be true, and only after the human operator has authorized acceptance of the EnergyAI Terms and Privacy Policy. If authorization is not already documented, call get_builder_upgrade_link and surface its one-screen activation URL instead.
intendedUseNoOPTIONAL, one line: what you plan to build. Used only to prioritize the roadmap.
contactEmailNoOPTIONAL. Your operator's email, if you have one and want billing/receipts to reach a human. Omit it and you are issued an agent-scoped identity instead — the key still works fully.

TDQS

A4.7/5.0
Behavior5/5

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

With no annotations, the description carries full burden and does so admirably. It discloses critical traits: the key is shown exactly once, must not be printed, supports a header or argument path, strips the key before billing/persistence, and notes the tool is always free with no existing API key required. This is rich, actionable context.

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 longer than average but every sentence earns its place: purpose, outcome, usage, fallback, caveat, security, and cost. It is front-loaded with the primary action and structured logically, with no filler or redundancy.

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

Completeness5/5

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

Given the complexity (API key creation, security constraints, no output schema, no annotations), the description is remarkably complete. It covers what is returned (live key plus trial calls), how to use it, when to use an alternative, and security handling, leaving no critical gaps for selection or 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% and parameter descriptions are already detailed. The description adds some context (e.g., acceptTerms must follow human authorization, and the apiKey argument for another tool), but it does not substantially enrich the meaning of the schema's individual parameters beyond what is already documented.

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 opens with an explicit verb+resource: 'Create an EnergyAI production API key' and distinguishes itself from the sibling get_builder_upgrade_link by stating when that alternative is needed instead. It clearly defines the tool's scope and outcome.

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?

The description provides explicit when-to-use guidance, including the fallback: 'If the operator has not already authorized the terms, call get_builder_upgrade_link and surface its one-screen human activation URL instead.' It also gives a concrete next step ('start with review_installer_quote') and notes the header-vs-apiKey handling conditions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

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.