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Worthune Verified Financial Models

list_example_households

Read-onlyIdempotent

Twelve FICTIONAL households, each built to exercise a different part of the planning engine — accumulation, a Roth conversion window, drawdown on a low-basis portfolio, spousal Social Security coordination, running out of money, negative amortization, and more. Use one as a starting point for try_household_projection, or as a worked shape when helping someone describe their own household. Pass an id to get the full document back. No API key required.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNoAn example id; omit to list all twelve with their summaries.

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already establish read-only, idempotent, non-destructive behavior, and the description adds useful context beyond them: no API key required, optional id returns the full document, and omitting id returns all twelve summaries. There is no contradiction with the annotations.

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?

The description is front-loaded with the core purpose and use cases, and the lengthy scenario list earns its place by helping an agent understand the variety of examples available. It is somewhat wordy but every sentence contributes.

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?

For a simple read-only tool with one optional parameter and no output schema, the description covers what the agent gets back (summaries or full document), auth requirements, and intended uses. No mission-critical information is 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?

The schema already describes the sole id parameter with 100% coverage, so the baseline is 3. The description's 'Pass an id to get the full document back' repeats the schema's meaning without adding format, examples, or value constraints.

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 clearly identifies the resource as twelve FICTIONAL example households and explains they exercise different planning-engine scenarios, which separates them from real user households. The combination of 'Pass an id...' and the schema's 'omit to list all twelve' makes both listing and detail-fetch behavior 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?

It explicitly provides two use cases: as a starting point for try_household_projection and as a worked shape when helping users describe their own households. It does not explicitly mention when not to use it or contrast with get_household, so it stops short of a 5.

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

Each tool targets a distinct resource and action: household CRUD, bulk import/mapping, projection/decision, model contract/run/verify, and narrative generation. Even the superficially similar pairs (project_household vs decide_household; run_model vs verify_claim) are clearly separated by their descriptions.

Naming Consistency5/5

All tool names use lowercase snake_case with imperative verb-first naming (create_, get_, patch_, replace_, run_, verify_). Pluralization follows natural semantics (list_models, import_households) without breaking the overall verb_noun pattern.

Tool Count5/5

13 tools is within the ideal range for a domain server. Each tool earns its place: household lifecycle, import tooling, model contract/run/verify, projection/decision, and narration form coherent clusters without redundancy.

Completeness4/5

Core workflows are well covered: create/read/update households, project and decide, list/get/run/verify models, and narrate decisions. Minor gaps remain: there is no delete_household or list_households, and no dedicated get_decision tool for retrieving a stored decision object independently.

Resources