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Waves Pest Control & Lawn Care

get_pricing_ranges

Published price ranges (low/high per service, engine-derived, refreshed from live pricing configuration). The same data as https://www.wavespestcontrol.com/pricing.md. Exact per-property quotes require customer contact details — see how_to_request_quote.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden. It usefully discloses provenance and freshness ('engine-derived, refreshed from live pricing configuration') and the public URL mirror, but it does not explicitly state read-only behavior, authentication needs, rate limits, or whether any filtering/side effects exist. For a simple no-param read tool this is adequate but not rich.

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?

Two compact sentences front-load the resource and return shape, then immediately route exact-quote needs to the sibling tool. The URL is included only as a useful equivalence reference; there is no waste.

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?

There is no output schema and no annotations, so the description must carry the burden. It explains the return shape at a high level (low/high per service), provenance, freshness, and the exact-quote limitation. Minor gaps remain around currency and whether the full service list is included, but it is sufficient for correct invocation.

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 has zero parameters, so the baseline is 4. The description adds no parameter meaning because none exist, which is appropriate rather than missing.

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 clearly states the resource returned: published price ranges with low/high values per service, including provenance as engine-derived and refreshed from live pricing configuration. It distinguishes itself from exact quoting by pointing to how_to_request_quote, though it lacks a direct verb such as 'get' or 'retrieve'.

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?

It gives clear usage context by stating that exact per-property quotes require customer contact details and directing the agent to how_to_request_quote. It does not explicitly say 'use this tool when you need published ranges,' but the implication is strong and there are no misleading exclusions.

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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