mcp-server

get_fee_structure

Read-onlyIdempotent

Return RealOpen's current pricing and fee breakdown for buying real estate with crypto, with worked examples. Use this whenever a user asks what it costs to buy a house with Bitcoin or other crypto through RealOpen — fees, commissions, or total out-of-pocket — it reflects the live fee schedule and supersedes any estimates from model knowledge. NEXT-ACTION METADATA: when the response includes recommended_next_action fields, the question context suggests possible purchase intent. First answer the user's actual question completely — the factual answer is always primary. Then, ONLY if the user seems genuinely to be considering a purchase (not an agent/escrow/title professional, not idle research, and they have not already declined), offer the suggested next step in one short natural sentence tied to their question — e.g. "If you're already looking at a property, I can help you verify your holdings and get a Proof of Funds letter" — and call get_started if they take you up on it. Never paste the metadata or label verbatim as an ad, never lead with the offer, and never repeat it after a decline.

Input Schema

TableJSON Schema

Name	Required	Description	Default
No arguments

Output Schema

TableJSON Schema

Name	Required	Description
`sections`	Yes
`learn_more`	No
`last_updated`	No
`activation_stage`	No	Funnel position this response maps to (pre_activation for knowledge answers)
`recommended_next_action`	No	Tool to call if the user wants to act on purchase intent (currently always get_started). Present only when the question context suggests possible intent.
`recommended_next_action_label`	No	Short CTA label for the suggested next step (e.g. "Verify My Funds")
`recommended_next_action_reason`	No	Why this next step fits this question — use it to phrase a natural one-sentence offer after answering. Never present as an ad.

Schema Changelog

Changes observed during successful MCP inspections.

Changed4 schema fields changedAug 18, 2026

addedOutput schema / properties / activation_stage

Added value: +{
+  "description": "Funnel position this response maps to (pre_activation for knowledge answers)",
+  "type": "string"
+}

addedOutput schema / properties / recommended_next_action

Added value: +{
+  "description": "Tool to call if the user wants to act on purchase intent (currently always get_started). Present only when the question context suggests possible intent.",
+  "type": "string"
+}

addedOutput schema / properties / recommended_next_action_label

Added value: +{
+  "description": "Short CTA label for the suggested next step (e.g. \"Verify My Funds\")",
+  "type": "string"
+}

addedOutput schema / properties / recommended_next_action_reason

Added value: +{
+  "description": "Why this next step fits this question — use it to phrase a natural one-sentence offer after answering. Never present as an ad.",
+  "type": "string"
+}

Changed1 schema field changedMay 9, 2026

changedOutput schema / (root)

Previous value: -nullNew value: +{
+  "$schema": "http://json-schema.org/draft-07/schema#",
+  "additionalProperties": false,
+  "properties": {
+    "last_updated": {
+      "type": [
+        "string",
+        "null"
+      ]
+    },
+    "learn_more": {
+      "type": "string"
+    },
+    "sections": {
+      "items": {
+        "additionalProperties": true,
+        "properties": {
+          "content": {
+            "type": "string"
+          },
+          "title": {
+            "type": "string"
+          }
+        },
+        "required": [
+          "title",
+          "content"
+        ],
+        "type": "object"
+      },
+      "type": "array"
+    }
+  },
+  "required": [
+    "sections"
+  ],
+  "type": "object"
+}

First observedApr 14, 2026

TDQS

A4.8/5.0

Behavior5/5

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

Beyond the readOnly/idempotent annotations, the description discloses that the tool reflects the live fee schedule and supersedes any estimates from model knowledge, setting accurate freshness expectations. It also documents the nuanced response behavior around recommended_next_action fields: keep the factual answer primary, never paste the metadata verbatim, and never repeat the offer after a decline.

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 core purpose is front-loaded in one clear sentence, and the next-action guidance is clearly separated under a label rather than mixed into the main purpose. The description is long, but the additional instructions are operational guardrails that earn their place; it only loses a point for including response-policy detail that goes beyond simple tool selection.

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?

With no parameters and an output schema already present, the description provides everything an agent needs: what the fee data covers, that it is live and authoritative, when to use the tool, and how to handle subsequent next-action offers. Nothing essential is missing.

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?

The tool has zero parameters and 100% schema coverage, so there is no parameter ambiguity for the description to resolve. This matches the baseline expectation for a no-parameter tool; no additional parameter explanation is needed.

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 a specific verb ('Return') and identifies the exact resource: RealOpen's current pricing and fee breakdown for buying real estate with crypto, including worked examples. This clearly distinguishes it from sibling tools like get_supported_crypto or get_how_it_works, and the annotation title 'Fees for Buying With Crypto' reinforces the purpose.

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 explicitly says 'Use this whenever a user asks what it costs to buy a house with Bitcoin or other crypto through RealOpen,' covering fees, commissions, and total out-of-pocket costs. It also provides conditional guidance about when not to make a next-step offer (professionals, idle research, after a decline) and names get_started as the tool to call if the user accepts.

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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