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Kolmo Construction

Home-improvement financing

get_financing_options
Read-onlyIdempotent

Get home improvement financing options for a Seattle remodeling project. Returns loan types, estimated monthly payments, typical terms, and eligibility notes. Helps homeowners understand how to pay for a remodel — HELOC, home improvement loans, cash-out refinance, and contractor payment plans.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
creditProfileNoApproximate credit profile: excellent (750+), good (680-749), fair (620-679). Default: good
projectBudgetYesEstimated project cost in USD

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
optionsNo
getQuoteYes
disclaimerYes
attributionYes
creditProfileNo
projectBudgetNo

TDQS

A4/5.0
Behavior4/5

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

The annotations already establish read-only, idempotent, and non-destructive behavior. The description adds the informational nature of the response and the specific content returned (estimated payments, terms, eligibility notes), which is useful context beyond the structured annotations. There is no contradiction.

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 compact: the first sentence states scope, the second lists return contents, and the third adds audience and financing categories. Every sentence earns its place, with no redundancy or 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 only two parameters, full schema descriptions, strong annotations, and an output schema present, the description gives enough context to invoke the tool correctly. It does not cover edge cases or explicit non-use scenarios, but those are minor given the simple input surface.

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 projectBudget and creditProfile are already documented. The description does not add specific parameter-level detail or explain how budget or credit profile affect the returned options, so it stays at the baseline for a fully covered 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 clearly names the verb 'Get' and the resource 'financing options,' and it enumerates the outputs: loan types, estimated monthly payments, typical terms, and eligibility notes. It does not explicitly contrast with sibling tools, but the financing-specific scope is distinct from nearby tools like get_estimate or get_project_roi.

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 provides clear context for when to use this tool: a Seattle remodeling project where a homeowner needs to understand how to pay for the remodel. It lists relevant financing vehicles (HELOC, home improvement loans, cash-out refinance, contractor payment plans), though it does not state exclusions or directly name alternative tools.

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

A3.9/5.0
Disambiguation4/5

Most tools have clearly distinct purposes, but get_neighborhood_project_activity and get_neighbor_permit_activity are easy to confuse, and get_material_catalog vs get_material_options have overlapping scope. The detailed descriptions mostly resolve ambiguity, so it stays above average.

Naming Consistency4/5

Naming follows a mostly consistent get_/list_ verb-noun pattern, with a small set of other descriptive verbs like check_, estimate_, and resolve_. The neighbor/neighborhood naming collision and a few multi-word exceptions are the main inconsistencies.

Tool Count2/5

At 36 tools, the surface is heavy and exceeds the 25+ threshold, spanning permits, estimates, content, reviews, financing, weather, and procurement. While each cluster has plausible value, the overall count feels bloated for an agent to navigate efficiently.

Completeness4/5

The set covers a broad lifecycle: permit research, estimates, licensing, financing, ROI, weather, project/services content, reviews, and lead submission. Minor gaps like scheduling/booking and direct estimate persistence prevent a perfect score.

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