Skip to main content
Glama

Find where a portfolio can fund early retirement

find_fire_locations
Read-onlyIdempotent

Geo-arbitrage FIRE analysis: given a portfolio and safe withdrawal rate, returns every country where the passive income sustains a lean ($32k US-equivalent/yr), comfortable ($55k), upper ($90k), or luxury ($150k) lifestyle at local purchasing-power prices — plus FIRE numbers per tier, nomad-visa income-floor eligibility, local-currency income, an SWR sensitivity band, (with savings/coast params) years until each country unlocks, and — where covered — a statePension overlay with the OECD net pension replacement rate (safety net from pension age; not subtracted from the FIRE numbers). Estimates only — not financial advice.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
swrNoSafe withdrawal rate as fraction (0.04) or percent (4). Default 0.04.
coastNoSet to 1 for Coast-FIRE mode (project growth with zero further savings).
returnNoExpected real annual return, fraction (0.05) or percent (5). Default 0.05.
sourceNoconsensus
savingsNoMonthly savings (USD) — enables the years-to-FIRE planner.
portfolioYesTotal investable portfolio (USD).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okNo
rowsNo
sensitivityNo
annualIncomeNo
monthlyIncomeNo

TDQS

A4.1/5.0
Behavior5/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, and the description adds meaningful behavioral context beyond those: 'Estimates only — not financial advice,' the statePension overlay is 'not subtracted from the FIRE numbers,' and optional savings/coast parameters change the output to include years until each country unlocks. This helps avoid misinterpretation of results.

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 one long, dense sentence, but it is front-loaded with the core purpose and then enumerates outputs. There is no filler, though splitting into a few sentences would improve readability.

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 the output schema exists, the description thoroughly covers the key input relationship and enumerates the important output categories: tiers, FIRE numbers, nomad-visa eligibility, local currency, SWR sensitivity, savings/coast effects, and statePension caveats. The only lightly documented parameter is 'source,' but the enum values are fairly self-explanatory and the required portfolio parameter is well covered.

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 coverage is 83%, and the schema already explains most parameters including accepted fraction/percent forms for swr and return. The description adds only aggregate mentions of portfolio/SWR and savings/coast mode, without detailing each parameter, so it neither substantially improves nor hurts parameter understanding.

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 a specific verb-plus-resource purpose: given a portfolio and SWR, return all countries where passive income supports specified FIRE lifestyle tiers. It is distinct from sibling tools by its geo-arbitrage FIRE focus, though it does not explicitly name or differentiate itself from a sibling such as find_nomad_visas.

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 provides clear context for when to use the tool: when a user wants country-level FIRE feasibility based on a portfolio and withdrawal rate. It does not state exclusions or name alternative tools, but the FIRE-specific framing makes the intended use case fairly unambiguous.

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

A3.9/5.0
Disambiguation3/5

Several tools occupy adjacent territory: check_travel_residency explicitly supersedes check_residency, check_schengen, and check_tax_residency_risk, and the cost-of-living family (arrival_cost, compare_total_cost, compare_housing, estimate_micro_costs, calculate_ppp, localize_salary) has overlapping price-level concepts. The detailed descriptions mostly clarify boundaries, but an agent selecting by name alone could easily pick the wrong residency or cost tool.

Naming Consistency4/5

Most tools follow a clean verb_noun snake_case pattern with recognizable prefixes (compare_*, check_*, find_*, calculate_*), which makes the set predictable. Deviations like arrival_cost, passport_power, required_rate, and the acronym-heavy calculate_ppp keep it from being perfectly uniform.

Tool Count3/5

26 tools is a heavy surface, and at least three of the check_* tools are explicitly superseded by check_travel_residency, adding redundant weight. The broad geo-arbitrage/nomad domain justifies much of the breadth, but the set feels closer to a full toolkit than a focused server.

Completeness4/5

The toolset covers the core remote-work and geo-arbitrage decision space: cost of living, purchasing power, tax residency risk, nomad visas, housing, healthcare, climate, connectivity, holidays, salary localization, FIRE, livability, and even team timezone planning. Gaps are minor—no family-size cost tool, no immigration/citizenship pathway data, and no dedicated safety/crime dataset beyond the livability composite—but agents can work around them.

Resources