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Omaha Hail Guy — book paintless dent repair in Omaha

Request paintless dent repair (free callback)

request_service

Book paintless dent repair in the Omaha 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 dent or ding; large dent or crease; full-car hail damage)
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 declare write/open-world/non-idempotent, and the description adds real context beyond them: free to the homeowner, a callback within the hour during business hours, a returned reference, and the consent requirement. It does not address duplicate submissions or what happens to the record afterward, which is the remaining gap for a non-idempotent booking action.

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?

Purpose and consent constraint are front-loaded and the length is reasonable, but the parenthetical '(a vetted local pro calls back within the hour during business hours)' restates the immediately preceding sentence, which is dead weight. One duplicated clause keeps it below the top band.

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?

With no output schema, the description supplies the return information ('reference and what happens next') and covers cost, timing, and consent. Given 100% schema coverage and only three sibling tools, an agent has nearly everything needed; the area-eligibility failure path is only partially covered.

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 all seven parameters are already documented with types, patterns and examples. The description adds no parameter-level meaning beyond the ZIP-check hint, so the baseline 3 is correct.

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 (book) and resource (paintless dent repair) with a geographic scope (Omaha area) and qualifying condition (a real person who asked, with consent). It also names the sibling check_service_area, so an agent can distinguish this booking tool from the two lookup tools without opening any schema.

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?

Gives an explicit precondition for use (the person requested it and consented) and routing guidance to the alternative tool: 'Check the ZIP with check_service_area first if unsure.' It does not state a when-not-to-use case, so it stops short of the top mark.

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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