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Glama

US Mortgage Calculator

Estimate property tax

calculate_property_tax
Read-onlyIdempotent

Annual and monthly property tax for a home, using a state's average effective rate. Also returns how that state ranks nationally and how its rate compares with the national average. For the mechanics behind the number — assessment basis, caps, exemptions, appeal deadlines — use get_state_mortgage_rules.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
stateYesFull US state name, for example "Texas".
homePriceYesHome value in US dollars.

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, so the bar is lower. The description adds behavioral context by stating the tool returns annual and monthly tax amounts, a national rank, and a comparison to the national average, and it discloses the limitation of using average effective rates.

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 that front-load the core function and then add output details plus an alternative pointer without any filler. Every clause is informative and earns its place.

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?

With no output schema, the description compensates by naming what is returned (annual/monthly totals, state rank, comparison to national average). It also covers an alternative for deeper mechanics, making it self-sufficient for a simple read-only calculator with good annotations.

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%, with clear definitions for state ('Full US state name') and homePrice ('Home value in US dollars'). The description mentions 'using a state's average effective rate' but adds no parameter-level details beyond the schema, so the baseline 3 applies.

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 'Annual and monthly property tax for a home, using a state's average effective rate,' clearly specifying the verb, resource, and scope. It also mentions additional outputs (national rank, comparison to average) that differentiate it from sibling calculators like calculate_mortgage or estimate_closing_costs.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly directs users who need the mechanics behind the number—assessment basis, caps, exemptions, appeal deadlines—to use get_state_mortgage_rules, naming an alternative. This clearly implies when to use this tool (quick estimate using average effective rates) and when not to.

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

A4.5/5.0
Disambiguation5/5

Each tool targets a distinct calculation or information need: affordability, amortization, full mortgage payment, PMI, property tax, refinancing, rent vs buy, loan comparison, closing costs, state rules, and state list. Even overlapping tools like calculate_mortgage and calculate_pmi are clearly separated by depth and purpose.

Naming Consistency5/5

All tool names follow a consistent verb_noun snake_case pattern, using verbs like calculate, compare, estimate, get, and list. The pattern is uniform and predictable across the entire set.

Tool Count5/5

With 11 tools, the server is well-scoped for a US mortgage calculator domain. Each tool covers a meaningful aspect of mortgage analysis without redundancy or bloat.

Completeness5/5

The tool surface covers the full lifecycle of mortgage decision-making: affordability, payment estimation, amortization, PMI, property tax, refinancing, rent vs buy, loan comparison, closing costs, and state-specific rules. No significant gaps are apparent for the stated purpose.

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