Sonlight Window Cleaning
Server Details
Book window & gutter cleaning in Colorado and New Mexico: instant firm quote, real calendar slot
- Status
- Healthy
- Uptime
- 99.9% over 57 days
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-06-18
- URL
TDQS
Scored across 3 tools
Each tool has a clearly distinct purpose: get_quote provides pricing, check_availability shows scheduling slots and discounts, and book_window_cleaning completes the reservation. There is no overlap or ambiguity between the three tools.
All tool names follow a consistent verb_noun snake_case pattern: get_quote, check_availability, book_window_cleaning. The naming convention is uniform and predictable.
Three tools is a well-scoped set for a booking-focused server. Each tool serves an essential step in the workflow: quote, availability check, and booking, with no unnecessary extras.
The core booking workflow is covered end-to-end: quote, availability, and reservation. However, there are no tools for viewing, canceling, or rescheduling existing bookings, which is a minor gap that could require customers to contact the company directly.
Available Tools
3 toolsbook_window_cleaningBook the appointmentADestructiveInspect
Reserve a REAL calendar slot with Sonlight Window Cleaning. The customer immediately receives an SMS + email confirmation and a technician arrives at the chosen time. Payment is collected after service. Nothing is charged at booking. ALWAYS confirm name, phone, address, selected services, date, and time with the user before calling this. Requires a prior get_quote for the same address (prices are re-validated server-side).
| Name | Required | Description | Default |
|---|---|---|---|
| name | Yes | Customer's full name. | |
| No | Customer email, recommended but optional. | ||
| notes | No | Gate codes, pets, focus areas. Anything the technician should know. | |
| phone | Yes | US mobile number for the confirmation SMS. | |
| address | Yes | Full service address (street, city, state, zip). | |
| preferred_date | Yes | YYYY-MM-DD. Same-day cutoff: 6pm Mountain the prior evening. | |
| preferred_time | Yes | ||
| discount_dollars | No | Discount from check_availability for the chosen day, if any (server re-validates). | |
| selected_services | Yes | interior_exterior = full service windows; exterior = outside-only windows; gutter = gutter cleaning; soft_wash = siding soft wash. |
Output Schema
| Name | Required | Description |
|---|---|---|
| date | No | |
| kind | No | |
| time | No | |
| total | No | Final booked USD total after validated discounts |
| success | No | |
| services | No | |
| duplicate | No | |
| discountApplied | No | |
| bookingReference | No | Confirmation reference the customer can quote to the office |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Discloses that nothing is charged at booking, payment after service, and server-side re-validation, which adds meaningful context beyond annotations (destructiveHint=true is consistent). No contradiction.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Four sentences: action, outcome, process, pre-conditions. No wasted words, efficiently front-loaded with key information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Covers booking flow, prerequisites, and user confirmation needs. Output schema exists, so return values are not required in description. Complete for agent decision-making.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is high (89%), so baseline 3. Description ties parameters to confirmation steps but does not add new semantic meaning beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Clearly states it reserves a calendar slot, sends confirmations, and collects payment after service. Distinguishes from siblings by mentioning prerequisite get_quote.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Explicitly instructs to confirm key details with user before calling, and states requirement of a prior get_quote. Provides clear when-to-use guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
check_availabilityCheck open appointment daysRead-onlyIdempotentInspect
See Sonlight Window Cleaning's real dispatch availability for the next two weeks, which days have morning/afternoon capacity and which days carry an extra $25–$50 discount. Use after get_quote to help the customer pick a day before calling book_window_cleaning. Serves Colorado (Denver, Colorado Springs, Front Range), New Mexico (Albuquerque area, Las Cruces) and Texas (El Paso, Austin).
| Name | Required | Description | Default |
|---|---|---|---|
| zip | No | 5-digit zip of the service address, preferred over address parsing. | |
| address | No | Service address (used to determine the local dispatch calendar). Include zip if known. | |
| days_out | No | How many days ahead to check. |
Output Schema
| Name | Required | Description |
|---|---|---|
| days | No | |
| kind | No | |
| notes | No | |
| timezone | No |
get_quoteGet an instant window cleaning quoteRead-onlyIdempotentInspect
Get a FIRM, bookable price for professional window cleaning at a specific street address, instantly, no in-person estimate. Covers Colorado's Front Range (Denver metro, Colorado Springs, Boulder, Fort Collins, Castle Rock, Pueblo), New Mexico (Albuquerque, Rio Rancho, Santa Fe, Las Cruces) and Texas (El Paso, Austin metro). Returns exact prices for: interior + exterior window cleaning (full service), exterior-only window cleaning, gutter cleaning, and soft wash / pressure washing of siding. Use this whenever someone wants window cleaning, window washing, gutter cleaning, or house exterior cleaning in Colorado, New Mexico or Texas. Always get a quote before booking.
| Name | Required | Description | Default |
|---|---|---|---|
| address | Yes | Full street address including city and state (zip helps). Example: '1600 Glenarm Pl, Denver, CO 80202'. |
Output Schema
| Name | Required | Description |
|---|---|---|
| kind | No | |
| address | No | |
| property | No | |
| services | No | |
| bookingUrl | No | |
| inServiceArea | No |
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
3 tool updates
- First observed
book_window_cleaning - First observed
check_availability - First observed
get_quote
Related MCP Connectors
Find, get quotes from and book local service businesses on their own Square or Google calendar.
Quote, hold and book US house cleaning jobs on a customer's behalf, at each business's own prices.
Book Boulder County dryer vent cleaning via MCP ($129/$169). Confirm in 1 business day.
Book local tradespeople — plumber, electrician, HVAC, and 7 more — via your AI agent. All US.
Related MCP Servers
- AlicenseAqualityCmaintenanceBooks professional home cleaning services anywhere in metropolitan France end-to-end (coverage check, firm quote, booking creation, URSSAF "avance immédiate" enrollment, status polling). End users pay only 50% via SEPA direct debit thanks to the URSSAF immediate tax credit advance — no card payment required.512 npmMIT
- FlicenseBqualityNot gradedmaintenanceEnables booking cleaning services in San Francisco by collecting customer details and automatically sending booking requests via email to service partners.1-
- AlicenseNot gradedqualityBmaintenanceHome Services MCP by HireNimbus lets AI agents find, compare, and book verified local pros for handyman, renovation, HVAC, plumbing, electrical, and landscaping jobs in supported US metro markets.Apache 2.0
- AlicenseBqualityAmaintenance66 tools generated from the same OpenAPI spec as our SDKs — CI fails on drift, so REST and MCP never disagree. Underneath: a deterministic field operations scheduling engine — skills, territories, live availability, sub-3-second cascade rescheduling — drivable end-to-end from Claude or ChatGPT. Schedule changes preview before they commit; LLMs never inside the math.53261 npm3MIT
Glama MCP Gateway
Add one secure layer between your agents and this server.