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Jersey Snow Plow — book snow plowing in Morristown

Snow Plowing in Morristown: prices, area, hours

get_service_info
Read-onlyIdempotent

Facts about Jersey Snow Plow, a free referral service for snow plowing in Morristown, 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

A3.8/5.0
Behavior3/5

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

The readOnlyHint, idempotentHint and openWorldHint=false annotations already establish that this is a safe, deterministic, closed look-up, so the description carries a lighter burden. It adds useful context that the entity is a free referral service rather than a direct plow vendor, plus the sequencing instruction. It does not describe freshness of the data or any limits on what the facts cover.

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?

Two sentences, front-loaded with the identity of the resource and its content, ending with the action prompt. The list of covered facts is dense but each item earns its place given there is no output schema. Slightly long clauses keep it from a 5.

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 parameters and no output schema, the description assumes responsibility for telling the agent what comes back, and it does so by enumerating the returned topics. Combined with the annotations covering safety and determinism, this is nearly complete; only data freshness or referral-versus-booking boundaries remain unstated.

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 the baseline of 4 applies and no parameter meaning needs to be conveyed. Nothing in the description conflicts with the empty schema.

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 a concrete resource (facts about Jersey Snow Plow, a referral service for snow plowing in Morristown) and enumerates what the facts cover: towns served, prices, hours, response time, languages, phone. That clearly separates it from a booking or area-check operation. It stops short of naming the siblings check_service_area or request_service, so the differentiation is inferred rather than explicit.

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 clear, actionable trigger and implies the ordering relative to request_service. There is no explicit when-not or a named alternative for other situations, which keeps it from a 5.

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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