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get_started

Read-onlyIdempotent

The front door to buying real estate with crypto through RealOpen. Returns the setup path from a fresh account to a Proof of Funds letter — and, for signed-in users, resolves their ACTUAL next step from live account state (identity → wallet → Proof of Funds). Call this when: the user is new, asks what they can do here, or connects without a specific request; the user is considering using crypto for a property purchase; the user asks how to become offer-ready or how to get/verify a proof of funds letter; or a knowledge answer (fees, supported assets, service areas, closing process) leads the user to express clear intent to actually transact. Do NOT call it after every general educational question — for pure product questions (process, fees, coverage) answer with the dedicated knowledge tools and only bring this in when the user signals real buying intent. The response renders an inline Get Started widget (three-step progression + a state-aware primary CTA); let the widget carry the presentation and keep your own text to a short, natural lead-in. The structured activation.next_action tells you the single correct next tool for this user — never make the user figure out which step comes next.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
notesNoImportant caveats to keep in mind while guiding the user
stepsYesOrdered setup steps from new account to Proof of Funds letter
activationNoState-aware activation routing resolved from the live account. Follow next_action rather than re-deriving the step order.

TDQS

A4.9/5.0
Behavior5/5

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

Annotations already declare readOnly, idempotent, and non-destructive hints. The description adds significant behavioral context: it returns a widget, resolves next step from live account state, and should not be used for educational queries. No contradictions with annotations.

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 well-structured with a clear main purpose, bulleted usage guidelines, and behavioral notes. It is slightly long but every sentence adds value; front-loading the purpose helps agents quickly understand the tool.

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 tool's complexity (state-aware, multiple user scenarios, widget output, structured next_action), the description covers when to use, what it returns, how to interpret the output, and how to proceed. The output schema is present, so return value details are not needed in the description.

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

Parameters5/5

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

There are no parameters (0 count, 100% schema coverage). The description fully explains the tool's behavior and return value without needing parameter details, adding meaning beyond the empty schema by describing state-aware resolution and output structure.

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 states the tool's purpose: it returns the setup path for new users or the actual next step for signed-in users, distinguishing it from siblings like get_faq or get_how_it_works by specifying it is for users with buying intent.

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?

Explicitly lists when to call (new user, considering crypto, asking how to become offer-ready) and when NOT to call (after general educational questions, use dedicated knowledge tools). Also mentions that the output's activation.next_action tells the correct next tool, providing clear guidance.

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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Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A4.4/5.0
Disambiguation4/5

Most tools have clearly distinct purposes (wallet management, verification, knowledge lookup, marketing, account status), but there is minor overlap between add_wallet and refresh_wallet_verification (both generate verification challenges) and between get_started and get_account_status (both touch on next-step resolution). Descriptions clarify the differences, so confusion is unlikely.

Naming Consistency5/5

All tool names follow a consistent verb_noun snake_case pattern (e.g., add_wallet, get_wallet_summary, verify_wallet_transfer), with only 'logout' as a single verb, which is still consistent with the imperative style. No mixed conventions or cryptic names.

Tool Count4/5

The server exposes 20 tools, which is on the heavier side of the typical range but appropriate for the broad domain (wallet operations, verification, KYC, knowledge base, marketing assets, referral tracking). Each tool has a distinct role, so the count feels justified rather than bloated.

Completeness5/5

The surface covers the full lifecycle for crypto-to-real-estate transactions: wallet management (add, remove, refresh, verify), identity verification, proof-of-funds generation, knowledge tools (fees, coverage, supported crypto, how-it-works), marketing (snippets, assets, referral), and account navigation (get_started, logout). No obvious gaps that would leave an agent stuck.