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Prepare a sauna quote request

prepare_sauna_quote_request
Read-only

Validate a draft sauna project request and identify missing details. This is read-only: it does not store data, send email, select a provider, or share contact details.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cityNoCity where the sauna will be installed.
emailNoEmail address for personal provider-search updates.
notesNoOptional project details such as space, access, foundation, or electrical work.
phoneNoUS phone number for questions about the project.
stateNoTwo-letter US state code for the project.
budgetNoExpected project budget range in US dollars.
heatTypeNoPreferred sauna heat type, or hybrid_or_unsure when not decided.
timelineNoExpected purchase or installation timeline.
postalCodeYesUS ZIP code where the sauna will be installed.
contactNameNoName of the person requesting the quote.
projectTypeNoPrebuilt, custom indoor, custom outdoor, or not yet decided.
brandOrModelNoOptional sauna brand or model already under consideration.
electricalReadinessNoOptional description of the electrical power currently available at the site.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
statusYes
nextStepYes
requestIdYes
reviewUrlYes
missingFieldsYes
readyToSubmitYes
newsletterOptInYes
contactDetailsSharedWithProviderYes

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already provide readOnlyHint=true and destructiveHint=false, and the description adds concrete behavioral context: no data storage, no email sending, no provider selection, no contact sharing. This helps set expectations beyond the annotation flags, though it does not describe the validation output format.

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?

The description is two sentences with no wasted words. The core purpose is front-loaded, and the read-only clarification is concise and useful.

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 tool with 13 parameters, the description relies appropriately on the rich input schema and output schema. It communicates the essential selection information: validation, missing-detail identification, and no side effects. The only minor gap is not explicitly tying it to the submit workflow, but that is not critically missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so all 13 parameters are already documented in the schema. The description adds no parameter-specific meaning, but given the high schema coverage, the baseline score of 3 is appropriate.

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 a specific verb ('validate'), a specific resource ('a draft sauna project request'), and the intended outcome ('identify missing details'). It also clearly distinguishes itself from the submit sibling by stating it is read-only and does not send email or select a provider.

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?

The description clearly frames this as a pre-submission validation step and explicitly lists what it does not do, which helps an agent avoid using it for final submission. However, it does not explicitly name submit_sauna_quote_request as the alternative or state 'use before submitting', so the routing guidance is slightly implicit.

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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TDQS

A4.4/5.0
Disambiguation5/5

prepare_sauna_quote_request is explicitly read-only validation, while submit_sauna_quote_request stores data and sends emails. Their side effects are completely disjoint and the required call order is stated clearly.

Naming Consistency5/5

Both tool names follow the same snake_case verb_object pattern using the same object, 'sauna_quote_request'. There are no mixed naming conventions or vague verbs.

Tool Count4/5

Two tools is slightly below the typical range, but the server has a narrow, well-defined purpose: validate and submit a quote request. Each tool is necessary, though the surface feels minimal.

Completeness4/5

The prepare/submit pair covers the core request intake lifecycle with clear guardrails and expected behavior. There is no tool to retrieve, edit, or cancel a submitted request, which is a minor gap if users need to manage existing requests.

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