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Jersey Snow Plow — book snow plowing in Morristown

Request snow plowing (free callback)

request_service

Book snow plowing in the Morristown 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

NameRequiredDescriptionDefault
zipYes5-digit ZIP where the work is
nameYesThe person's real name
needYesWhat they need (e.g. residential driveway plowing; sidewalk and walkway shoveling; commercial lot plowing)
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

A4.2/5.0
Behavior4/5

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

Beyond the annotations (write, open-world, non-idempotent, non-destructive), it discloses cost ("Free to the homeowner"), callback SLA ("within the hour during business hours"), and that a reference is returned. It does not warn that repeated submissions create duplicate requests despite idempotentHint=false, which is the one behavioral gap.

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?

The core scope and the sibling routing are front-loaded, which is good, but the parenthetical "(a vetted local pro calls back within the hour during business hours)" redundantly restates the preceding sentence about a vetted pro calling back. That duplication costs space without adding 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?

For a 7-parameter write tool with no output schema, the description covers cost, turnaround, consent, and the return value ("a reference and what happens next"). Only the duplicate-submission behavior is left unaddressed.

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?

Schema coverage is 100%, so the baseline is 3, but the description adds real meaning: name and phone must belong to the actual consenting requester rather than the agent, and ZIP correctness should be validated via check_service_area. That constraint is not expressed anywhere in the 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?

States a specific verb and resource ("Book snow plowing") plus a geographic scope ("Morristown area") and the constraint that it is on behalf of a consenting real person. An agent can distinguish this from check_service_area and get_service_info 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 prerequisite and names the sibling to use first: "Check the ZIP with check_service_area first if unsure." It also implies the consent precondition for booking. It does not say when to prefer get_service_info instead, so the routing is clear but not exhaustive.

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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