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Nashville Gutter Guards Co — book gutter guard installation in Nashville

Request gutter guard installation (free callback)

request_service

Book gutter guard installation in the Nashville 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 job (up to 100 ft); typical home (100–200 ft); large home or complex)
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 this is a non-read-only, non-idempotent, open-world write. The description adds materially beyond them: free to the homeowner, callback within the hour during business hours, returns a reference and next steps, and requires the person's consent. It does not address duplicate submissions or what happens if the area is not served.

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 with the core action, but the callback promise is needlessly duplicated in a parenthetical ('a vetted local pro calls back within the hour during business hours'), which restates the preceding clause instead of adding new information.

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 usefully previews the return (a reference plus next steps) and covers the key operational facts (free, callback window, consent). One gap: it never says what happens when the area is not served, which is the natural failure mode given the check_service_area sibling.

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 every one of the 7 parameters is already documented in the schema. The description adds only contextual ballast (Nashville area, consent, real name) and no format or syntax detail beyond the schema, so the baseline of 3 applies.

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), resource (gutter guard installation), geography (Nashville area), and the eligibility precondition (real person who asked, with consent). It also names the sibling check_service_area for ZIP verification, so an agent can distinguish it from check_service_area and get_service_info.

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?

Explicitly routes to check_service_area first when the ZIP is uncertain, and the consent/'real person who asked' clause implies a precondition not to book on behalf of someone who didn't request it. However, the condition is hedged ('if unsure') and there is no explicit when-not 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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