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Check Service Area

check_service_area
Read-onlyIdempotent

Use this when the user gives a Massachusetts ZIP code or town and wants to know whether Johnson Bros. serves it. Do not use this as proof that a specific appointment is available.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
zipNo
townNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
zipNo
townNo
errorNo
messageNo
successYes
countiesNo
error_codeNo
matched_byNo
review_sandboxNo
in_service_areaNo

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.5/5.0
Behavior3/5

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

The description does not mention side effects or permissions, but the annotations already provide readOnlyHint and idempotentHint. It adds a caution about not using it for appointment proof, which is a useful behavioral note, but it does not go beyond what annotations already cover.

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

Conciseness5/5

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

The description is two sentences, efficiently combining purpose and usage guidance. It is well-structured with a positive statement followed by a negative constraint, with no unnecessary wording.

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?

The description provides enough context for an agent to decide when to call the tool, what parameters to provide, and what outcome to expect (whether Johnson Bros. serves the area). It also differentiates from sibling tools like request_booking and get_availability.

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 schema includes 'zip' and 'town' without descriptions. The tool description clarifies that these refer to a Massachusetts ZIP code or town, giving them meaning and indicating they are alternative inputs. This adds value beyond the raw schema.

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 clearly states the tool's function: given a Massachusetts ZIP code or town, it checks whether Johnson Bros. serves that area. It uses a specific verb ('serves') and distinguishes itself from related tools like get_availability.

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 states when to use the tool (when a MA ZIP or town is provided to check service area) and when not to use it (not as proof of appointment availability), giving clear guidance relative to sibling tools.

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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TDQS

A4.2/5.0
Disambiguation5/5

Each tool targets a clearly distinct action or resource: pricing is split into general services vs. issue-specific quotes, booking is split into availability, request, and confirmation, and document search is separate from live business data. Explicit usage boundaries prevent meaningful overlap.

Naming Consistency4/5

Most tools follow a clear verb_noun pattern like get_availability, request_booking, and confirm_booking. A few exceptions such as business_info, emergency_help, fetch, and search break the pattern slightly, but the naming remains readable and predictable overall.

Tool Count5/5

Eleven tools is a well-scoped size for a plumbing-booking and information server. Every tool earns its place and there is no obvious redundancy or bloat.

Completeness3/5

The core new-booking flow is covered well: availability, request, confirmation, quotes, service-area checks, emergency help, and document search. However, there is no cancellation, rescheduling, or booking-lookup tool, leaving post-booking lifecycle requests without a direct path.

Resources