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feie_nomad_tracker

Track IRS Form 2555 Foreign Earned Income Exclusion physical presence test (330 full foreign days in rolling 365-day period), statutory exclusion limits ($130k), and sticky domicile audit risks (CA, NY, VA, SC).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
taxYearNoApplicable tax year (2024, 2025, or 2026)
stateDomicileNoState of former/current US domicile (e.g. CA, NY, TX, FL)CA
foreignEarnedIncomeNoAnnual foreign earned compensation in USD ($)
effectiveTaxBracketPercentNoEstimated federal marginal tax rate %
daysOutsideUSInRollingPeriodNoFull 24-hour days outside the US in rolling 365-day window

Schema Changelog

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

  1. First observed

TDQS

A4.1/5.0
Behavior3/5

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

With no annotations, the description carries the behavioral disclosure burden. It says the tool evaluates physical presence days, exclusion limits, and domicile audit risks, but it does not state whether the tool returns a calculation, a risk score, a flag, or a report, nor does it mention any caveats.

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 a single dense sentence with no filler; every clause contributes a distinct element: physical presence test, exclusion limit, and state audit risk. It is front-loaded with the core topic and remains highly scannable.

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

Completeness3/5

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

The description covers the domain, key thresholds, and relevant states, and the schema documents all parameters. However, with no output schema and no annotations, the absence of any statement about what the tool returns or how results are presented leaves a meaningful gap for an agent relying on the description alone.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

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 meaningful semantic context beyond the schema by linking the 330-day threshold to daysOutsideUSInRollingPeriod, the $130k limit to foreignEarnedIncome, and CA/NY/VA/SC to stateDomicile.

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 names a specific verb ('Track'), a specific IRS form (2555), and concrete thresholds (330 days, $130k, high-risk states), making the tool's purpose unmistakable. It clearly distinguishes this from sibling tax tools by focusing on FEIE physical presence and domicile audit risk.

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 establishes clear context: use this for IRS Form 2555 FEIE tracking, physical presence testing, and state domicile audit risk. It does not explicitly name alternatives or say when not to use this tool, so it stops short of full guidance.

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

B3.4/5.0
Disambiguation4/5

Most tools are clearly separated by domain and target calculation, such as rocket_deltav versus projectile_motion or black_scholes versus compound_wealth. A few pairs like home_loan_emi/mortgage_piti and contractor_parity/billable_floor could be initially confused, but the descriptions resolve the intended use cases.

Naming Consistency4/5

All tool names are lowercase snake_case and generally follow a topic-plus-suffix pattern, which is readable and consistent. The pattern is not a strict verb_noun convention, and acronym-heavy names like feie_nomad_tracker, scorp_optimizer, and casio_991_solve introduce stylistic variance.

Tool Count3/5

At exactly 25 tools, this is at the heavy but still usable end of the scale. The broad spread across tax, finance, engineering, physics, math, and cloud cost makes the server feel more like several domain calculators merged into one service.

Completeness4/5

Each tool is a self-contained calculation with no missing follow-up operations, so there are no obvious dead ends for the workflows it targets. The main gaps are minor adjacent calculators—such as NPV, depreciation, or broader statistical inference—that agents could work around or obtain elsewhere.

Resources