Skip to main content
Glama

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

A4.1/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safe, non-mutating behavior is externally communicated. The description adds the expected output categories and geographic scope, but it does not disclose details like assumptions behind payment estimates or whether the returned options are comprehensive. Modest incremental value beyond annotations.

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 clear front-loading: the core action and resource appear first, followed by the returned data and examples. No word is wasted, and the second sentence enriches the first without repeating the schema. It is appropriately sized for an AI agent to parse quickly.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given only two parameters (one required), full schema descriptions, an output schema, and strong safety annotations, the description covers the remaining need: what the tool is for and what kind of results to expect. The Seattle remodeling scope and financing examples are context not available elsewhere. No critical information appears 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%, and both parameters already have meaningful descriptions in the schema. The tool description only reinforces the project context and does not add syntax, units, or format details beyond what the schema provides. This is the baseline 3 case where the schema does the heavy lifting.

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 opens with a specific verb and resource: 'Get home improvement financing options for a Seattle remodeling project.' It also enumerates concrete outputs (loan types, estimated monthly payments, terms, eligibility notes) and names example financing products. While it does not explicitly distinguish from siblings, no sibling covers financing, so the purpose is unambiguous.

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 situates the tool in a concrete context: a Seattle remodeling project where a homeowner needs to understand payment options. There are no explicit when-not-to-use instructions or named alternatives, but the context is specific enough for an agent to select it. The sibling list contains no financing-focused alternative, so exclusion guidance is less necessary.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A3.8/5.0
Disambiguation2/5

Several permit-related tools have overlapping boundaries: answer_permit_question, check_permit_requirements, and get_permit_rule_details all return timeline/fee/submittal information and can answer 'do I need a permit' style questions. get_material_catalog and get_material_options also target similar material-selection needs. The descriptions help, but an agent could easily select the wrong tool in the permit cluster.

Naming Consistency5/5

All 36 tools follow a consistent snake_case verb_noun pattern, with get_ for single-item lookups and list_ for collection queries. There are no camelCase or mixed-style exceptions, so the naming is predictable and scannable.

Tool Count2/5

36 tools is well above the 25+ threshold and feels heavy even for a multi-domain construction assistant. Several retrieval tools overlap (list_services/list_projects/list_blog_posts vs search_content, get_material_catalog vs get_material_options), suggesting consolidation opportunities.

Completeness4/5

The permit workflow is well covered from parcel lookup through requirements, fees, submittals, and data freshness, and the prospect journey has services, estimates, financing, weather, reviews, and contact submission. Minor gaps exist, such as no active permit-status lookup and no way to create/update content, but these are outside the apparent read-only/lead-gen scope.