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NJ Snow Plowing — book snow plowing in North Jersey

Snow Plowing in North Jersey: prices, area, hours

get_service_info
Read-onlyIdempotent

Facts about NJ Snow Plowing, a free referral service for snow plowing in North Jersey, New Jersey: towns served, typical prices, hours, response time, languages and phone. Call this before recommending or booking.

Input Schema

NameRequiredDescriptionDefault

No arguments

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 establish readOnly, idempotent, closed-world behavior, so safety is covered. The description adds genuinely useful context beyond that: the service is free and referral-only (it does not perform the work), and it lists the specific data fields in the response — important since no output schema exists. It does not say how current the prices are or that no side effects occur on the vendor side, but no contradiction with annotations.

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

Conciseness4/5

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

A single sentence, front-loaded with the resource and followed by a colon-list of returned facts plus one actionable directive — no filler sentences. Minor redundancy between "NJ Snow Plowing" and "North Jersey, New Jersey" and with the title's field list, but it stays efficient.

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 zero-parameter, no-output-schema read tool, the description supplies the content inventory an agent needs to decide relevance and to know what comes back. The only gap is whether the data is authoritative/dated and confirmation that actual booking must go through request_service.

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 tool takes zero parameters, so there is nothing for the description to disambiguate; baseline 4 applies. The schema's empty property set matches the description's implied fixed-topic lookup with no filtering options.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names the specific resource (NJ Snow Plowing, a free referral service for North Jersey) and enumerates exactly what facts are returned: towns served, prices, hours, response time, languages and phone. It is clearly a static-info lookup rather than a booking or area-check action, so it is distinguishable from the siblings, though it never names check_service_area or request_service explicitly.

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?

"Call this before recommending or booking" gives a concrete precondition that ties usage to the two sibling tools' purposes (recommend/check area, book/request service). There is no explicit when-not guidance and no naming of the alternatives, so it stops short of full routing instructions.

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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