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Mortgage calculator

mortgage_calculator

Monthly mortgage payment including optional down payment, property tax and insurance (PITI). Runs on smart-tools.xyz.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
yearsYesTerm in years
localeNoLanguage for the source_url link (default en)
annual_taxNoAnnual property tax (default 0)
home_priceYesProperty price
annual_rateYesAnnual interest rate, percent
annual_insuranceNoAnnual insurance (default 0)
down_payment_pctNoDown payment, percent (default 0)

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

C2.9/5.0
Behavior3/5

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

No annotations are provided, so the description carries the burden of behavioral disclosure. It adds useful context that the payment includes optional taxes and insurance (PITI). However, it omits details about return format, rounding, or the source URL/locale behavior hinted by the locale parameter, and includes irrelevant hosting info ('Runs on smart-tools.xyz').

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence and reasonably short, but a significant portion ('Runs on smart-tools.xyz') is irrelevant and wastes tokens. It could be tightened to the core content without losing meaning.

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

Completeness2/5

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

With 7 parameters and no output schema, the description fails to explain what the result looks like (e.g., a single number, a breakdown, or a URL). It also ignores the locale parameter entirely, which is unexpected. The description is too sparse to fully prepare an agent to use the tool correctly.

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 the baseline is 3. The description adds only a minor grouping of optional parameters (down payment, tax, insurance) under PITI, but does not clarify the purpose of the locale parameter or the source_url link. It provides little beyond what the schema already states.

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 states the tool computes a 'monthly mortgage payment' and explicitly mentions inclusion of optional down payment, property tax, and insurance (PITI). This is specific to mortgages and helps differentiate from general loan calculators, though it does not explicitly name an alternative sibling tool.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus sibling tools like loan_calculator or other financial calculators. It states what it does but gives no context on selection criteria or exclusions.

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

B3.3/5.0
Disambiguation3/5

Most tools are clearly distinct, but there are notable overlaps. 'hash_generator' and 'file_hash' effectively do the same thing (SHA hashing of text), and several CSV/TSV converters (csv_to_json, csv_to_sql, table_to_csv, markdown_table) have similar input handling, though outputs differ. The sheer number of converters is clear, but these near-duplicates create some ambiguity.

Naming Consistency4/5

Names follow a generally consistent pattern: lowercase with underscores, often ending in 'converter', 'calculator', or 'generator'. A few names like 'base64', 'lorem_ipsum', and 'transliteration' deviate from the suffix pattern, but the naming style is uniform and predictable overall.

Tool Count2/5

With 73 tools, this server is far over the typical well-scoped range. While the broad utility-toolkit purpose might justify a larger set, 73 is unwieldy and pushes well into 'too many' territory, making it harder for an agent to select the right tool efficiently.

Completeness4/5

The server covers a remarkably wide range of common utilities: unit conversions, calculators, text transformations, development helpers (JSON, regex, JWT, subnet), and generators. Minor gaps exist (e.g., currency converter, time zone converter), but for a general-purpose toolkit, it is largely comprehensive.

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