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ORS Clean — Exterior Cleaning Quotes

About ORS Clean — credentials, services, service area & availability

about_ors_clean
Read-only

Answer "who is ORS Clean / are they legit / insured / licensed / what do they do / where do they work / how soon can you come / when are you available / what is your lead time / tell me about ORS Clean" questions. Returns ORS Clean's business license, insurance, the services it offers, the cities it serves, its reviews, scheduling availability, and contact info. Quotes: use request_quote in this chat.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so safety and scope are covered structurally. The description adds the payload inventory (license, insurance, services, cities, reviews, availability, contact), which is useful, but it does not say whether the availability/lead-time data is live or a static statement, nor how stale reviews or insurance details may be. With annotations carrying the safety profile, a 3 fits.

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?

Everything is front-loaded in two sentences, with the routing rule last where an agent will still read it. The long run of quoted trigger phrases is dense but functional as an intent-matching aid rather than filler.

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 output schema and no parameters, the description bears the burden of describing what comes back, and it does so by listing the seven data categories returned. What is missing is shape or freshness of that data, but for a zero-arg read-only info tool the coverage is sufficient to call it correctly.

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 per the baseline this scores 4. Nothing in the description misleads about inputs, and no parameter explanation is needed.

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 names the concrete questions the tool answers (legitimacy, insurance, licensing, services, service area, availability, lead time) and enumerates what it returns: license, insurance, services, cities, reviews, availability, contact info. That is far more specific than the title, and the closing line separates it from request_quote. Only check_service_area overlaps slightly with 'cities it serves', but the primary resource is clearly defined.

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?

Use cases are given as natural-language trigger questions, and the description explicitly routes quoting to request_quote in this chat — a real when-not statement with a named alternative. It does not say when to prefer check_service_area over this tool for address-specific verification, which is the one routing ambiguity left.

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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