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KC Windshield — book windshield replacement in Kansas City

Request windshield replacement (free callback)

request_service

Book windshield replacement in the Kansas City area for a real person who asked for it, with their consent. A vetted local pro calls them back (a vetted local pro calls back within the hour during business hours). Free to the homeowner. Returns a reference and what happens next. Check the ZIP with check_service_area first if unsure.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
zipYes5-digit ZIP where the work is
nameYesThe person's real name
needYesWhat they need (e.g. small rock chip repair; standard windshield replacement; adas windshield replacement)
emailNoEmail (optional, recommended)
phoneYesUS phone number the pro should call (10 digits, any punctuation)
languageNoPreferred language (optional; English and Spanish are standard)
preferred_timeNoWhen they prefer a call or visit (optional)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already cover the side-effect profile (readOnlyHint=false, openWorldHint=true, idempotentHint=false), so the bar is lower. The description still adds real operational context: callback 'within the hour during business hours,' free to the homeowner, and that a reference is returned. It does not explicitly warn that duplicate requests create duplicate callbacks, which the non-idempotent hint implies.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded and generally tight, but the callback clause is duplicated: 'A vetted local pro calls them back (a vetted local pro calls back within the hour...).' The redundant parenthetical dilutes the otherwise efficient one-paragraph structure.

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?

No output schema exists, so the description usefully signals the return ('a reference and what happens next'). With 100% schema coverage and annotations covering safety, the only real gap is that it never states whether repeated submissions are deduplicated.

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 description coverage is 100%, so the schema already documents all seven parameters with formats and examples. The description adds no additional parameter-level meaning beyond the ZIP-check hint. Baseline 3 is appropriate.

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?

States a specific verb and resource ('Book windshield replacement in the Kansas City area') plus the operative constraint (real person, with consent). It is clearly distinguishable from check_service_area (area validation) and get_service_info (information lookup).

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

Usage Guidelines4/5

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

Names the sibling alternative and the condition that routes to it: 'Check the ZIP with check_service_area first if unsure.' It also states a precondition (the person asked for it and consented). It stops short of explicit when-not-to-use rules, so 4 rather than 5.

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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